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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
0.996
T=50.16262600418713
chang_pathbased
0.626
T=21.642019282410825
ppi_mips
0.808
T=0.5015015015015015
chang_spiral
0.331
T=4.1866568169017295
astral_40_strsim
0.684
T=8.174141005005005
astral_40_seqsim_beh
0.418
T=1.8530365566260023
fraenti_s3
0.548
T=967791.8448614491
bone_marrow_fixLabels
0.929
T=0.26508145171252834
fu_flame
0.593
T=8.228697681413424
coli_state
0.392
T=0.9189860519089067
coli_find
0.127
T=0.9569459530863248
coli_need
0.387
T=0.9343214576759062
coli_time
0.264
T=0.8725674406513769
gionis_aggregation
0.98
T=28.44135869148222
veenman_r15
0.987
T=12.701072390112492
zahn_compound
0.782
T=30.08063563491904
synthetic_spirals
0.498
T=0.8851891891891893
synthetic_cassini
0.657
T=1.862059969047025
twonorm_100d
0.497
T=1.567632196848607
twonorm_50d
0.522
T=4.572185375484433
synthetic_cuboid
0.887
T=0.9977300906414439
astral1_161
0.5
T=0.6972111196383823
tcga
0.956
T=0.5298995360226277
bone_marrow
0.782
T=0.26324909144723435
zachary
1.0
T=0.0980980980980981