streamcluster Outputs

streamcluster outputs a text file containing each cluster center. For each center the following information is provided: its ID, weight, and coordinates. We show this data for both the perforated and unperforated outputs processing the covertype data set from the UCI Machine Learning Repository.

Output of original application:

## (1) the ID of the center
## (2) Weight of the center (sum of all point weights)
## (3) Coordinates of the center

18179
6432.000000
0.500121 0.440182 0.251338 0.171095 0.294462 0.240260 0.830751 0.854512 0.533454
0.214263 0.210665 0.039179 0.564054 0.186101 0.014770 0.037780 0.002643 0.03467
0 0.011039 0.023476 0.000000 0.000000 0.000000 0.181126 0.034359 0.000000 0.0576
80 0.005752 0.000000 0.006996 0.034049 0.005131 0.002799 0.006685 0.000622 0.002
488 0.036070 0.008551 0.000000 0.004353 0.000466 0.000466 0.050684 0.073383 0.01
8812 0.031095 0.038557 0.001555 0.015081 0.001244 0.005286 0.099658 0.089397 0.0
63277 6.006996 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

32819
14670.000000
0.596711 0.341447 0.173761 0.215319 0.267277 0.619499 0.860914 0.878836 0.540243
0.526683 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.0000
00 0.000000 0.000000 0.035310 0.000000 0.000000 0.027267 0.049557 0.000000 0.000
000 0.156851 0.005726 0.000000 0.000000 0.000000 0.000000 0.687253 0.000000 0.00
0000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.005112 0.014042 0.0
18882 1.028357 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

52385
15625.000000
0.415760 0.423088 0.234467 0.133490 0.270609 0.347479 0.873584 0.886875 0.516428
0.350086 0.665920 0.009920 0.101568 0.222592 0.016640 0.024256 0.060480 0.03859
2 0.006016 0.031936 0.000000 0.000256 0.000000 0.060672 0.009792 0.000000 0.0033
28 0.008448 0.000000 0.024192 0.024704 0.007488 0.001344 0.020032 0.000128 0.012
736 0.006336 0.020352 0.000000 0.000448 0.000448 0.000192 0.004352 0.588800 0.00
4032 0.010048 0.010176 0.000512 0.000064 0.000064 0.000000 0.001216 0.001344 0.0
00576 2.387071 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

87117
24143.000000
0.476735 0.333648 0.134178 0.199096 0.268082 0.407252 0.876838 0.897154 0.545200
0.565169 0.998882 0.001118 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000 0.000000 0.000083 0.000041 0.000000 0.000000 0.924781 0.0000
00 0.000000 0.000000 0.013586 0.000000 0.012592 0.001657 0.023237 0.000000 0.000
994 0.000497 0.000621 0.000041 0.000000 0.000000 0.000000 0.000000 0.021580 0.00
0000 0.000000 0.000000 0.000000 0.000083 0.000000 0.000000 0.000041 0.000166 0.0
00000 1.920018 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

88635
39121.000000
0.516251 0.405605 0.174148 0.191729 0.265507 0.539174 0.846586 0.890723 0.568719
0.557761 0.969377 0.001662 0.028961 0.000000 0.000000 0.000026 0.000000 0.00043
5 0.000000 0.000000 0.002684 0.003374 0.000230 0.000741 0.000818 0.004499 0.0013
55 0.000000 0.000000 0.019861 0.000179 0.034713 0.004882 0.081516 0.000256 0.005
726 0.073567 0.032975 0.000000 0.000486 0.000128 0.000077 0.685489 0.023926 0.00
3783 0.008512 0.005342 0.000102 0.000026 0.000026 0.000000 0.001713 0.001457 0.0
01099 1.897958 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

Output of perforated application:

## (1) the ID of the center
## (2) Weight of the center (sum of all point weights)
## (3) Coordinates of the center

34248
15361.000000
0.595607 0.345731 0.178160 0.217835 0.269608 0.606156 0.859439 0.877329 0.539572
0.496502 0.999284 0.000716 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000 0.000000 0.000065 0.000391 0.000000 0.000000 0.011392 0.0000
00 0.000000 0.000000 0.027928 0.000000 0.000846 0.019530 0.028904 0.000000 0.009
244 0.147777 0.007356 0.000000 0.000000 0.000000 0.000000 0.705683 0.010546 0.00
0000 0.000000 0.000000 0.000000 0.000065 0.000000 0.000000 0.007291 0.006835 0.0
16145 1.071610 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

37272
45514.000000
0.485204 0.368235 0.158103 0.177784 0.264223 0.425383 0.870708 0.897589 0.548209
0.529362 0.942413 0.005031 0.052423 0.000132 0.000000 0.002593 0.000374 0.00700
9 0.000000 0.000044 0.001802 0.001077 0.000022 0.003076 0.002549 0.490596 0.0022
85 0.000022 0.000000 0.025091 0.000286 0.035637 0.006789 0.083798 0.000264 0.005
735 0.059432 0.028629 0.000022 0.000571 0.000264 0.000132 0.000000 0.212045 0.00
4636 0.010700 0.008085 0.000264 0.000066 0.000044 0.000000 0.000879 0.003735 0.0
01450 1.873094 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

42990
4089.000000
0.221066 0.423306 0.289309 0.106623 0.288464 0.127336 0.848261 0.847612 0.491577
0.165901 0.068966 0.000245 0.081683 0.849107 0.063585 0.064074 0.226950 0.07361
2 0.022989 0.121546 0.000000 0.000000 0.000000 0.204696 0.016875 0.000000 0.0002
45 0.032037 0.000000 0.014184 0.092932 0.028613 0.000000 0.000000 0.000000 0.000
000 0.000245 0.000489 0.000000 0.000000 0.000000 0.000000 0.016630 0.019565 0.00
0000 0.000734 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.0
00000 3.663240 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

75701
28451.000000
0.518768 0.411083 0.179553 0.199033 0.267846 0.570114 0.848163 0.890543 0.565930
0.571088 0.999789 0.000211 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000 0.000808 0.003093 0.000105 0.000000 0.000000 0.000000 0.0000
00 0.000000 0.000000 0.013040 0.000000 0.000949 0.001511 0.018699 0.000000 0.001
547 0.011072 0.010158 0.000000 0.000000 0.000000 0.000000 0.915293 0.022389 0.00
0000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000351 0.000457 0.0
00527 1.953429 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

97772
6576.000000
0.498297 0.437375 0.252039 0.169697 0.294264 0.239514 0.833441 0.854615 0.530180
0.211859 0.227950 0.038321 0.551702 0.182026 0.014446 0.036953 0.002585 0.03391
1 0.010797 0.022962 0.000000 0.000000 0.000000 0.177159 0.033607 0.000000 0.0564
17 0.005627 0.000000 0.006995 0.033303 0.005018 0.002737 0.006539 0.000608 0.002
433 0.035280 0.008364 0.000000 0.004258 0.000456 0.000456 0.052007 0.091089 0.01
8400 0.030414 0.037713 0.001521 0.014751 0.001217 0.005170 0.097476 0.087439 0.0
61892 5.984944 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.
000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0
.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000
0 0.000000 0.000000

ferret Outputs

The size of the output files for ferret exceeds the space limitations of blogger. Here we will post several examples for queries performed by both the original and perforated application. When the anonymous review is over we will make the full output available on our project website. Note that many queries return the same set of images using both the perforated and unperforated application. The apollo.jpg query shows one example where the two version of the application differ.

Example output of original application:

queries/pine.jpg    675000/675032.jpg:0.701832    704000/704020.jpg:0.765677    158000/158041.jpg:0.769722    266000/266034.jpg:0.773089    584000/584040.jpg:0.773296    253000/253063.jpg:0.775687    265000/265094.jpg:0.780017    426000/426091.jpg:0.785454    421000/421010.jpg:0.794106    734000/734063.jpg:0.804434    210000/210091.jpg:0.805285    356000/356001.jpg:0.818705    36100/36103.jpg:0.818838    286000/286027.jpg:0.819533    421000/421091.jpg:0.824621    194000/194047.jpg:0.826529    482000/482096.jpg:0.828706    421000/421008.jpg:0.829098    154000/154091.jpg:0.834304    88000/88060.jpg:0.839266    449000/449057.jpg:0.844699    199000/199070.jpg:0.845776    466000/466076.jpg:0.850422    482000/482002.jpg:0.850864    651000/651050.jpg:0.852053    108000/108067.jpg:0.854892    134000/134000.jpg:0.855791    856000/856025.jpg:0.856516    427000/427069.jpg:0.858622    514000/514052.jpg:0.860063    404000/404048.jpg:0.862774    446000/446098.jpg:0.86626    446000/446088.jpg:0.866813    108000/108076.jpg:0.867318    152000/152085.jpg:0.867412    169000/169087.jpg:0.867678    293000/293011.jpg:0.868087    158000/158062.jpg:0.869361    446000/446061.jpg:0.869615    388000/388086.jpg:0.871442    750000/750082.jpg:0.873237    818000/818031.jpg:0.875739    378000/378002.jpg:0.876414    367000/367070.jpg:0.87821    380000/380081.jpg:0.878225    446000/446083.jpg:0.881796    91000/91067.jpg:0.882149    482000/482076.jpg:0.882594    141000/141033.jpg:0.885201    83000/83083.jpg:0.886441
queries/sandcastles.jpg    608000/608077.jpg:0.834995    116000/116027.jpg:0.839889    87000/87017.jpg:0.872522    77000/77029.jpg:0.902723    59000/59073.jpg:0.926524    146000/146064.jpg:0.930587    439000/439097.jpg:0.934643    318000/318097.jpg:0.93978    291000/291070.jpg:0.943607    58000/58051.jpg:0.944194    639000/639062.jpg:0.948956    778000/778034.jpg:0.953004    87000/87018.jpg:0.958701    281000/281020.jpg:0.963072    112000/112015.jpg:0.97244    541000/541031.jpg:0.976935    118000/118039.jpg:0.977295    272000/272049.jpg:0.98083    639000/639073.jpg:0.982093    376000/376090.jpg:0.991535    71000/71044.jpg:0.993313    517000/517012.jpg:0.995435    413000/413058.jpg:1.00064    78000/78040.jpg:1.0015    204000/204039.jpg:1.00787    81000/81043.jpg:1.01194    667000/667090.jpg:1.01482    378000/378063.jpg:1.01483    77000/77063.jpg:1.01487    86000/86093.jpg:1.01613    239000/239021.jpg:1.01613    683000/683048.jpg:1.01688    220000/220090.jpg:1.01846    676000/676073.jpg:1.02027    851000/851021.jpg:1.02037    61000/61064.jpg:1.0211    633000/633098.jpg:1.02125    628000/628078.jpg:1.02258    376000/376036.jpg:1.02325    620000/620003.jpg:1.02347    611000/611090.jpg:1.02489    227000/227026.jpg:1.0264    388000/388000.jpg:1.02808    714000/714036.jpg:1.02832    584000/584031.jpg:1.02832    139000/139088.jpg:1.02922    319000/319076.jpg:1.02996    817000/817066.jpg:1.03039    365000/365007.jpg:1.03308    175000/175012.jpg:1.03428
queries/lemor.jpg    41000/41066.jpg:0.785685    344000/344023.jpg:0.847363    421000/421014.jpg:0.855823    41000/41023.jpg:0.872516    117000/117032.jpg:0.877849    214000/214096.jpg:0.886109    295000/295089.jpg:0.887889    199000/199018.jpg:0.89234    138000/138084.jpg:0.901328    448000/448044.jpg:0.903498    277000/277007.jpg:0.907497    681000/681045.jpg:0.912191    579000/579050.jpg:0.914979    378000/378023.jpg:0.922144    381000/381052.jpg:0.923599    82000/82034.jpg:0.929889    377000/377027.jpg:0.935683    249000/249047.jpg:0.942032    85000/85095.jpg:0.94396    262000/262082.jpg:0.944239    154000/154095.jpg:0.948632    463000/463097.jpg:0.948779    326000/326088.jpg:0.948887    390000/390070.jpg:0.949238    851000/851081.jpg:0.949581    110000/110047.jpg:0.952853    390000/390097.jpg:0.952939    390000/390038.jpg:0.954127    854000/854082.jpg:0.958186    235000/235008.jpg:0.958854    109000/109058.jpg:0.959015    620000/620066.jpg:0.960148    722000/722019.jpg:0.960345    377000/377011.jpg:0.961101    872000/872026.jpg:0.965129    538000/538038.jpg:0.97103    615000/615010.jpg:0.972431    279000/279046.jpg:0.974167    376000/376030.jpg:0.974762    822000/822002.jpg:0.977362    658000/658036.jpg:0.980287    390000/390090.jpg:0.981176    291000/291041.jpg:0.981795    111000/111076.jpg:0.981953    81000/81068.jpg:0.982135    873000/873066.jpg:0.983443    167000/167014.jpg:0.983977    123000/123036.jpg:0.994631    253000/253056.jpg:0.994699    342000/342082.jpg:0.995001
queries/rowan-3.jpg    83000/83026.jpg:0.764081    368000/368074.jpg:0.779597    680000/680067.jpg:0.799267    706000/706053.jpg:0.807453    360000/360023.jpg:0.810806    381000/381076.jpg:0.815485    395000/395039.jpg:0.818396    351000/351046.jpg:0.834403    381000/381088.jpg:0.856238    276000/276093.jpg:0.856489    872000/872091.jpg:0.860326    70000/70068.jpg:0.865933    590000/590020.jpg:0.88043    856000/856053.jpg:0.881658    353000/353002.jpg:0.8992    312000/312054.jpg:0.902003    510000/510034.jpg:0.905682    106000/106068.jpg:0.907809    106000/106007.jpg:0.916233    387000/387086.jpg:0.917693    312000/312035.jpg:0.92046    144000/144093.jpg:0.922857    382000/382021.jpg:0.92716    462000/462044.jpg:0.937492    721000/721016.jpg:0.938616    487000/487070.jpg:0.948477    669000/669094.jpg:0.948574    669000/669096.jpg:0.94865    312000/312001.jpg:0.950106    257000/257021.jpg:0.95771    887000/887084.jpg:0.959529    65000/65003.jpg:0.959805    512000/512015.jpg:0.961194    257000/257052.jpg:0.961519    525000/525021.jpg:0.962786    232000/232009.jpg:0.963555    217000/217039.jpg:0.964059    184000/184064.jpg:0.964465    114000/114068.jpg:0.967898    370000/370017.jpg:0.972805    209000/209028.jpg:0.973684    395000/395051.jpg:0.98097    107000/107090.jpg:0.981022    235000/235056.jpg:0.981467    154000/154081.jpg:0.988738    857000/857045.jpg:0.998419    395000/395092.jpg:0.998756    472000/472080.jpg:0.998778    61000/61040.jpg:1.00002    742000/742008.jpg:1.00212
queries/monterey-18.jpg    557000/557072.jpg:0.855508    86000/86047.jpg:0.896204    36100/36174.jpg:0.899797    612000/612026.jpg:0.902682    511000/511025.jpg:0.924756    83000/83047.jpg:0.926053    93000/93086.jpg:0.939398    860000/860020.jpg:0.944537    621000/621029.jpg:0.946661    654000/654071.jpg:0.959795    525000/525088.jpg:0.96201    159000/159068.jpg:0.969339    486000/486002.jpg:0.9731    117000/117097.jpg:0.983024    603000/603086.jpg:0.992831    88000/88070.jpg:0.999624    70000/70003.jpg:1.01259    368000/368071.jpg:1.0158    281000/281027.jpg:1.01656    262000/262038.jpg:1.02137    734000/734006.jpg:1.02399    860000/860014.jpg:1.0247    547000/547044.jpg:1.02489    279000/279040.jpg:1.02951    296000/296054.jpg:1.0301    887000/887065.jpg:1.03244    286000/286054.jpg:1.03321    229000/229034.jpg:1.03333    139000/139044.jpg:1.03472    392000/392049.jpg:1.03609    104000/104072.jpg:1.04269    379000/379014.jpg:1.04643    15000/15098.jpg:1.04774    248000/248022.jpg:1.05471    241000/241032.jpg:1.05535    296000/296046.jpg:1.05803    612000/612056.jpg:1.06039    232000/232002.jpg:1.06122    286000/286092.jpg:1.06463    251000/251051.jpg:1.0659    33000/33095.jpg:1.06877    213000/213047.jpg:1.07285    516000/516045.jpg:1.0745    429000/429095.jpg:1.08269    264000/264019.jpg:1.08298    257000/257039.jpg:1.08313    604000/604057.jpg:1.08717    477000/477086.jpg:1.09165    232000/232029.jpg:1.09355    681000/681058.jpg:1.0939
queries/apollo.jpg    367000/367063.jpg:0.819381    753000/753090.jpg:0.863124    867000/867013.jpg:0.87379    624000/624075.jpg:0.911631    421000/421093.jpg:0.917529    335000/335044.jpg:0.94253    191000/191098.jpg:0.952236    95000/95090.jpg:0.956468    321000/321018.jpg:0.970934    228000/228031.jpg:0.994542    750000/750040.jpg:1.00457    171000/171033.jpg:1.00942    682000/682042.jpg:1.02019    376000/376080.jpg:1.0203    722000/722013.jpg:1.0289    452000/452039.jpg:1.04299    43000/43008.jpg:1.04409    252000/252006.jpg:1.053    314000/314007.jpg:1.05609    94000/94006.jpg:1.059    686000/686079.jpg:1.07904    642000/642069.jpg:1.08372    888000/888031.jpg:1.0868    530000/530046.jpg:1.08896    223000/223067.jpg:1.0904    312000/312016.jpg:1.09199    750000/750041.jpg:1.09204    312000/312046.jpg:1.10081    312000/312087.jpg:1.10314    884000/884070.jpg:1.10481    217000/217079.jpg:1.10538    752000/752090.jpg:1.11263    219000/219029.jpg:1.11616    314000/314067.jpg:1.11778    874000/874038.jpg:1.12248    887000/887017.jpg:1.12363    887000/887059.jpg:1.13132    858000/858044.jpg:1.13715    847000/847010.jpg:1.13952    342000/342024.jpg:1.14161    215000/215065.jpg:1.14688    615000/615070.jpg:1.15053    606000/606012.jpg:1.15236    469000/469046.jpg:1.15374    664000/664036.jpg:1.15456    343000/343075.jpg:1.1551    47000/47071.jpg:1.1639    381000/381002.jpg:1.16413    855000/855027.jpg:1.16536    94000/94032.jpg:1.16749

Example output of perforated application:

queries/pine.jpg    675000/675032.jpg:0.701832    704000/704020.jpg:0.765677    158000/158041.jpg:0.769722    266000/266034.jpg:0.773089    584000/584040.jpg:0.773296    253000/253063.jpg:0.775687    265000/265094.jpg:0.780017    426000/426091.jpg:0.785454    421000/421010.jpg:0.794106    734000/734063.jpg:0.804434    210000/210091.jpg:0.805285    356000/356001.jpg:0.818705    36100/36103.jpg:0.818838    286000/286027.jpg:0.819533    421000/421091.jpg:0.824621    194000/194047.jpg:0.826529    482000/482096.jpg:0.828706    421000/421008.jpg:0.829098    154000/154091.jpg:0.834304    88000/88060.jpg:0.839266    449000/449057.jpg:0.844699    199000/199070.jpg:0.845776    466000/466076.jpg:0.850422    482000/482002.jpg:0.850864    651000/651050.jpg:0.852053    108000/108067.jpg:0.854892    134000/134000.jpg:0.855791    856000/856025.jpg:0.856516    427000/427069.jpg:0.858622    514000/514052.jpg:0.860063    404000/404048.jpg:0.862774    446000/446098.jpg:0.86626    446000/446088.jpg:0.866813    108000/108076.jpg:0.867318    152000/152085.jpg:0.867412    169000/169087.jpg:0.867678    293000/293011.jpg:0.868087    158000/158062.jpg:0.869361    446000/446061.jpg:0.869615    388000/388086.jpg:0.871442    750000/750082.jpg:0.873237    818000/818031.jpg:0.875739    378000/378002.jpg:0.876414    367000/367070.jpg:0.87821    380000/380081.jpg:0.878225    446000/446083.jpg:0.881796    91000/91067.jpg:0.882149    482000/482076.jpg:0.882594    141000/141033.jpg:0.885201    83000/83083.jpg:0.886441
queries/sandcastles.jpg    608000/608077.jpg:0.834995    116000/116027.jpg:0.839889    87000/87017.jpg:0.872522    77000/77029.jpg:0.902723    59000/59073.jpg:0.926524    146000/146064.jpg:0.930587    439000/439097.jpg:0.934643    318000/318097.jpg:0.93978    291000/291070.jpg:0.943607    58000/58051.jpg:0.944194    639000/639062.jpg:0.948956    778000/778034.jpg:0.953004    87000/87018.jpg:0.958701    281000/281020.jpg:0.963072    112000/112015.jpg:0.97244    541000/541031.jpg:0.976935    118000/118039.jpg:0.977295    272000/272049.jpg:0.98083    639000/639073.jpg:0.982093    376000/376090.jpg:0.991535    71000/71044.jpg:0.993313    517000/517012.jpg:0.995435    413000/413058.jpg:1.00064    78000/78040.jpg:1.0015    204000/204039.jpg:1.00787    81000/81043.jpg:1.01194    667000/667090.jpg:1.01482    378000/378063.jpg:1.01483    77000/77063.jpg:1.01487    86000/86093.jpg:1.01613    239000/239021.jpg:1.01613    683000/683048.jpg:1.01688    220000/220090.jpg:1.01846    676000/676073.jpg:1.02027    851000/851021.jpg:1.02037    61000/61064.jpg:1.0211    633000/633098.jpg:1.02125    628000/628078.jpg:1.02258    376000/376036.jpg:1.02325    620000/620003.jpg:1.02347    611000/611090.jpg:1.02489    227000/227026.jpg:1.0264    388000/388000.jpg:1.02808    714000/714036.jpg:1.02832    584000/584031.jpg:1.02832    139000/139088.jpg:1.02922    319000/319076.jpg:1.02996    817000/817066.jpg:1.03039    365000/365007.jpg:1.03308    175000/175012.jpg:1.03428
queries/lemor.jpg    41000/41066.jpg:0.785685    344000/344023.jpg:0.847363    421000/421014.jpg:0.855823    41000/41023.jpg:0.872516    117000/117032.jpg:0.877849    214000/214096.jpg:0.886109    295000/295089.jpg:0.887889    199000/199018.jpg:0.89234    138000/138084.jpg:0.901328    448000/448044.jpg:0.903498    277000/277007.jpg:0.907497    681000/681045.jpg:0.912191    579000/579050.jpg:0.914979    378000/378023.jpg:0.922144    381000/381052.jpg:0.923599    82000/82034.jpg:0.929889    377000/377027.jpg:0.935683    249000/249047.jpg:0.942032    85000/85095.jpg:0.94396    262000/262082.jpg:0.944239    154000/154095.jpg:0.948632    463000/463097.jpg:0.948779    326000/326088.jpg:0.948887    390000/390070.jpg:0.949238    851000/851081.jpg:0.949581    110000/110047.jpg:0.952853    390000/390097.jpg:0.952939    390000/390038.jpg:0.954127    854000/854082.jpg:0.958186    235000/235008.jpg:0.958854    109000/109058.jpg:0.959015    620000/620066.jpg:0.960148    722000/722019.jpg:0.960345    377000/377011.jpg:0.961101    872000/872026.jpg:0.965129    538000/538038.jpg:0.97103    615000/615010.jpg:0.972431    279000/279046.jpg:0.974167    376000/376030.jpg:0.974762    822000/822002.jpg:0.977362    658000/658036.jpg:0.980287    390000/390090.jpg:0.981176    291000/291041.jpg:0.981795    111000/111076.jpg:0.981953    81000/81068.jpg:0.982135    873000/873066.jpg:0.983443    167000/167014.jpg:0.983977    123000/123036.jpg:0.994631    253000/253056.jpg:0.994699    342000/342082.jpg:0.995001
queries/rowan-3.jpg    83000/83026.jpg:0.764081    368000/368074.jpg:0.779597    680000/680067.jpg:0.799267    706000/706053.jpg:0.807453    360000/360023.jpg:0.810806    381000/381076.jpg:0.815485    395000/395039.jpg:0.818396    351000/351046.jpg:0.834403    381000/381088.jpg:0.856238    276000/276093.jpg:0.856489    872000/872091.jpg:0.860326    70000/70068.jpg:0.865933    590000/590020.jpg:0.88043    856000/856053.jpg:0.881658    353000/353002.jpg:0.8992    312000/312054.jpg:0.902003    510000/510034.jpg:0.905682    106000/106068.jpg:0.907809    106000/106007.jpg:0.916233    387000/387086.jpg:0.917693    312000/312035.jpg:0.92046    144000/144093.jpg:0.922857    382000/382021.jpg:0.92716    462000/462044.jpg:0.937492    721000/721016.jpg:0.938616    487000/487070.jpg:0.948477    669000/669094.jpg:0.948574    669000/669096.jpg:0.94865    312000/312001.jpg:0.950106    257000/257021.jpg:0.95771    887000/887084.jpg:0.959529    65000/65003.jpg:0.959805    512000/512015.jpg:0.961194    257000/257052.jpg:0.961519    525000/525021.jpg:0.962786    232000/232009.jpg:0.963555    217000/217039.jpg:0.964059    184000/184064.jpg:0.964465    114000/114068.jpg:0.967898    370000/370017.jpg:0.972805    209000/209028.jpg:0.973684    395000/395051.jpg:0.98097    107000/107090.jpg:0.981022    235000/235056.jpg:0.981467    154000/154081.jpg:0.988738    857000/857045.jpg:0.998419    395000/395092.jpg:0.998756    472000/472080.jpg:0.998778    61000/61040.jpg:1.00002    742000/742008.jpg:1.00212
queries/monterey-18.jpg    557000/557072.jpg:0.855508    86000/86047.jpg:0.896204    36100/36174.jpg:0.899797    612000/612026.jpg:0.902682    511000/511025.jpg:0.924756    83000/83047.jpg:0.926053    93000/93086.jpg:0.939398    860000/860020.jpg:0.944537    621000/621029.jpg:0.946661    654000/654071.jpg:0.959795    525000/525088.jpg:0.96201    159000/159068.jpg:0.969339    486000/486002.jpg:0.9731    117000/117097.jpg:0.983024    603000/603086.jpg:0.992831    88000/88070.jpg:0.999624    70000/70003.jpg:1.01259    368000/368071.jpg:1.0158    281000/281027.jpg:1.01656    262000/262038.jpg:1.02137    734000/734006.jpg:1.02399    860000/860014.jpg:1.0247    547000/547044.jpg:1.02489    279000/279040.jpg:1.02951    296000/296054.jpg:1.0301    887000/887065.jpg:1.03244    286000/286054.jpg:1.03321    229000/229034.jpg:1.03333    139000/139044.jpg:1.03472    392000/392049.jpg:1.03609    104000/104072.jpg:1.04269    379000/379014.jpg:1.04643    15000/15098.jpg:1.04774    248000/248022.jpg:1.05471    241000/241032.jpg:1.05535    296000/296046.jpg:1.05803    612000/612056.jpg:1.06039    232000/232002.jpg:1.06122    286000/286092.jpg:1.06463    251000/251051.jpg:1.0659    33000/33095.jpg:1.06877    213000/213047.jpg:1.07285    516000/516045.jpg:1.0745    429000/429095.jpg:1.08269    264000/264019.jpg:1.08298    257000/257039.jpg:1.08313    604000/604057.jpg:1.08717    477000/477086.jpg:1.09165    232000/232029.jpg:1.09355    681000/681058.jpg:1.0939
queries/apollo.jpg    367000/367063.jpg:0.84763    867000/867013.jpg:0.858074    753000/753090.jpg:0.896461    95000/95090.jpg:0.945953    335000/335044.jpg:0.952035    624000/624075.jpg:0.952905    421000/421093.jpg:0.953697    376000/376080.jpg:0.980427    321000/321018.jpg:0.981933    191000/191098.jpg:0.982766    452000/452039.jpg:1.00835    750000/750040.jpg:1.01614    682000/682042.jpg:1.02755    228000/228031.jpg:1.02879    171000/171033.jpg:1.03176    314000/314007.jpg:1.03294    722000/722013.jpg:1.05346    43000/43008.jpg:1.05712    94000/94006.jpg:1.07718    252000/252006.jpg:1.07751    642000/642069.jpg:1.07952    312000/312087.jpg:1.08131    750000/750041.jpg:1.09097    223000/223067.jpg:1.0924    530000/530046.jpg:1.09499    312000/312046.jpg:1.10005    312000/312016.jpg:1.1035    884000/884070.jpg:1.1041    686000/686079.jpg:1.10721    855000/855027.jpg:1.10972    615000/615070.jpg:1.1156    342000/342024.jpg:1.11664    217000/217079.jpg:1.121    874000/874038.jpg:1.12119    888000/888031.jpg:1.12327    381000/381002.jpg:1.12714    469000/469046.jpg:1.1314    887000/887059.jpg:1.13152    847000/847010.jpg:1.13477    343000/343075.jpg:1.13479    752000/752090.jpg:1.13705    314000/314067.jpg:1.13808    606000/606012.jpg:1.13922    887000/887017.jpg:1.14231    664000/664036.jpg:1.14325    215000/215065.jpg:1.14792    858000/858044.jpg:1.15477    364000/364076.jpg:1.15846    867000/867050.jpg:1.16276    682000/682038.jpg:1.1642