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astral_40_seqsim_beh
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Best Qualities
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General
Statistics
Best Qualities
Best Parameters
All Clusterings
Hints:
How well do clustering methods perform on 'astral_40_seqsim_beh'?
Program
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
CLARA
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Self Organizing Maps
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Spectral Clustering
0.859
2.001
0.457
0.421
0.25
0.0
0.143
0.074
0.989
0.989
1.0
0.035
1.0
0.78
clusterdp
0.292
NaN
0.664
0.599
0.0
0.0
NaN
0.375
0.993
0.993
0.867
NaN
1.0
0.875
HDBSCAN
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AGNES
0.222
NaN
0.714
0.649
0.0
0.0
NaN
0.418
0.993
0.993
1.0
NaN
1.0
0.881
c-Means
0.5
NaN
0.524
0.442
0.0
0.0
NaN
0.119
0.99
0.99
1.0
0.058
1.0
0.799
k-Medoids (PAM)
0.0
Infinity
0.576
0.498
0.0
0.0
0.46
0.222
0.991
0.991
0.988
0.104
1.0
0.853
DIANA
0.165
NaN
0.531
0.434
0.0
0.0
NaN
0.211
0.991
0.991
1.0
NaN
1.0
0.846
DBSCAN
0.222
NaN
0.261
0.188
0.0
0.0
NaN
0.034
0.99
0.99
1.0
NaN
1.0
0.793
Hierarchical Clustering
0.165
NaN
0.714
0.649
0.0
0.0
NaN
0.418
0.993
0.993
0.998
NaN
1.0
0.881
fanny
0.5
NaN
0.48
0.399
0.402
0.0
NaN
0.129
0.989
0.989
1.0
0.033
1.0
0.791
k-Means
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DensityCut
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clusterONE
0.925
1.896
0.634
0.544
0.751
0.012
0.294
0.17
0.981
0.981
0.359
0.101
0.988
0.825
Affinity Propagation
0.396
NaN
0.544
0.449
0.0
0.0
NaN
0.205
0.99
0.99
0.231
NaN
1.0
0.815
Markov Clustering
0.899
2.014
0.649
0.613
0.304
0.001
0.514
0.332
0.991
0.991
1.0
NaN
0.999
0.832
Transitivity Clustering
0.0
NaN
0.714
0.653
0.0
0.0
NaN
0.418
0.993
0.993
0.985
NaN
1.0
0.881
MCODE
0.709
1.996
0.463
0.393
0.981
0.32
0.104
0.019
0.679
0.679
1.0
NaN
0.68
0.57