Home
About
SIC
MIC
×
d250_10
Source:
mapB
Source Composite Image
All sources below were be compared against this source composite image.
Top 49 Most Similar strIPlib Instances
These are the 49 CCM images (for individual instances) that are most similar to the CCM image for this instance, according to the ISS metric.
These are the 49 most similar strIPlib instance CCM images.
Name (Source)
d250_08_alternative
(mapA)
d250_17_alternative
(mapA)
d250_21
(mapB)
d250_14
(mapB)
d250_17
(mapB)
d250_23_alternative
(mapA)
d500_02
(mapB)
d250_13
(mapB)
d500_21
(mapB)
0.95-quasi-clique_covering_karate
(relA)
d500_11
(mapB)
0.9-quasi-clique_partitioning_karate
(relB)
0.9-quasi-clique_covering_karate
(relA)
0.9-quasi-clique_covering_chesapeake
(relA)
d100_02_alternative
(mapA)
d100_03_alternative
(mapA)
0.8-quasi-clique_covering_karate
(relA)
0.85-quasi-clique_partitioning_football
(relB)
0.8-quasi-clique_partitioning_football
(relB)
0.9-quasi-clique_partitioning_football
(relB)
0.75-quasi-clique_covering_polbooks
(relA)
0.95-quasi-clique_partitioning_chesapeake
(relB)
0.95-quasi-clique_covering_chesapeake
(relA)
d100_20_alternative
(mapA)
0.75-quasi-clique_covering_dolphins
(relA)
0.9-quasi-clique_partitioning_polbooks
(relB)
0.8-quasi-clique_partitioning_dolphins
(relB)
0.85-quasi-clique_partitioning_dolphins
(relB)
d100_03
(mapB)
0.8-quasi-clique_covering_adjnoun
(relA)
0.8-quasi-clique_partitioning_adjnoun
(relB)
0.95-quasi-clique_covering_adjnoun
(relA)
n20p5t2s4
(pcp)
d500_25
(mapB)
d100_20
(mapB)
ring_n10p0.1s2
(pcp)
d100_14
(mapB)
d100_11
(mapB)
qwhdec.order5.holes10.1.col.bigM
(colA)
qwhopt.order5.holes10.1.col.bigM
(colA)
qwhdec.order5.holes10.1.col.disa
(colB)
qwhopt.order5.holes10.1.col.disa
(colB)
prob1_100_090_110_025_035_08
(kps)
prob1_100_090_110_005_015_05
(kps)
prob1_100_040_060_035_045_09
(kps)
prob1_100_090_110_035_045_03
(kps)
prob1_100_040_060_005_015_04
(kps)
prob2_100_040_060_035_045_06
(kps)
prob1_100_040_060_015_025_08
(kps)
prob1_100_090_110_025_035_06
(kps)
Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between two image-based feature vectors. A smaller ISS value indicates greater similarity.
1 / 1.311
2 / 1.587
3 / 1.644
4 / 1.658
5 / 1.719
6 / 1.731
7 / 1.758
8 / 1.813
9 / 1.862
10 / 1.904
11 / 1.969
12 / 2.038
13 / 2.038
14 / 2.053
15 / 2.078
16 / 2.118
17 / 2.148
18 / 2.186
19 / 2.186
20 / 2.186
21 / 2.203
22 / 2.219
23 / 2.219
24 / 2.250
25 / 2.274
26 / 2.282
27 / 2.303
28 / 2.316
29 / 2.355
30 / 2.401
31 / 2.436
32 / 2.445
33 / 2.483
34 / 2.555
35 / 2.574
36 / 2.627
37 / 2.635
38 / 2.651
39 / 2.672
40 / 2.672
41 / 2.688
42 / 2.688
43 / 2.741
44 / 2.744
45 / 2.745
46 / 2.749
47 / 2.750
48 / 2.755
49 / 2.755
50 / 2.756