Clust
Eval
clustering evaluation framework
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Location:
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»
tcga
»
Best Qualities
Navigation:
General
Statistics
Best Qualities
Best Parameters
All Clusterings
Hints:
How well do clustering methods perform on 'tcga'?
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
0.634
1.976
NaN
NaN
0.067
0.0
0.524
0.355
0.499
0.499
0.497
-0.004
1.0
0.237
clusterdp
0.432
2.313
0.921
0.928
0.017
0.014
0.924
0.857
0.911
0.911
0.999
0.147
0.986
0.777
HDBSCAN
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AGNES
0.0
Infinity
0.998
0.997
0.0
0.0
NaN
0.991
0.995
0.995
1.0
NaN
1.0
0.986
c-Means
0.0
Infinity
0.963
0.964
0.0
0.0
NaN
0.92
0.953
0.953
0.988
0.18
1.0
0.847
k-Medoids (PAM)
0.194
2.365
0.9
0.927
0.0
0.0
0.909
0.829
0.889
0.889
0.97
0.174
1.0
0.701
DIANA
0.0
Infinity
0.911
0.94
0.0
0.0
NaN
0.849
0.902
0.902
1.0
NaN
1.0
0.799
DBSCAN
0.0
Infinity
0.944
0.94
0.0
0.0
NaN
0.881
0.931
0.931
1.0
NaN
1.0
0.792
Hierarchical Clustering
0.0
Infinity
0.998
0.997
0.0
0.0
NaN
0.991
0.995
0.995
1.0
NaN
1.0
0.986
fanny
0.0
Infinity
0.914
0.943
0.0
0.0
NaN
0.858
0.908
0.908
1.0
NaN
1.0
0.828
k-Means
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DensityCut
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clusterONE
Infinity
-Infinity
0.678
0.806
0.446
1.0
0.744
0.554
0.554
0.554
1.0
NaN
0.0
0.0
Affinity Propagation
0.0
Infinity
0.389
0.293
0.0
0.0
NaN
0.133
0.517
0.517
0.133
NaN
1.0
0.423
Markov Clustering
Infinity
-Infinity
0.678
0.806
0.446
1.0
0.744
0.554
0.554
0.554
1.0
NaN
0.0
0.0
Transitivity Clustering
0.0
Infinity
0.986
0.984
0.0
0.0
NaN
0.956
0.975
0.975
1.0
NaN
1.0
0.919
MCODE
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