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clustering evaluation framework
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Transitivity Clustering
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Best Parameters
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General
Best Qualities
Best Parameters
Hints:
Which parameter sets lead to the optimal clustering quality?
Please choose a clustering quality measure:
Davies Bouldin Index (R)
Dunn Index (R)
F1-Score
F2-Score
False Discovery Rate
False Positive Rate
Fowlkes Mallows Index (R)
Jaccard Index (R)
Rand Index
Rand Index (R)
Sensitivity
Silhouette Value (R)
Specificity
V-Measure
Dataset
Best quality
Parameter set
brown
0.991
T=48.868106623433924
chang_pathbased
0.708
T=21.642019282410825
ppi_mips
0.965
T=0.5185185185185185
chang_spiral
0.536
T=25.423321830171368
astral_40_strsim
0.943
T=5.070590142142142
astral_40_seqsim_beh
0.881
T=1.1581478478912515
fraenti_s3
0.773
T=967791.8448614491
bone_marrow_fixLabels
0.952
T=0.2638598782023323
fu_flame
0.597
T=8.937813460063056
coli_state
0.372
T=0.9981916529443955
coli_find
0.546
T=1.0000000000000002
coli_need
0.359
T=0.9997205168411744
coli_time
0.397
T=0.9997435964600633
gionis_aggregation
0.978
T=28.44135869148222
veenman_r15
0.994
T=12.603371833265474
zahn_compound
0.847
T=30.08063563491904
synthetic_spirals
0.312
T=2.9473153153153158
synthetic_cassini
0.794
T=2.6656858504252146
twonorm_100d
0.294
T=4.520613776958774
twonorm_50d
0.459
T=4.572185375484433
synthetic_cuboid
0.945
T=0.9977300906414439
astral1_161
0.719
T=2.4402389187343383
tcga
0.919
T=0.5305124440591041
bone_marrow
0.789
T=0.26813538548801824
zachary
1.0
T=0.09109109109109109