Clust
Eval
clustering evaluation framework
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Location:
Data Sets
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coli_find
»
Best Qualities
Navigation:
General
Statistics
Best Qualities
Best Parameters
All Clusterings
Hints:
How well do clustering methods perform on 'coli_find'?
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
0.88
1.938
0.217
0.376
0.5
0.0
0.317
0.119
0.873
0.873
0.822
NaN
1.0
0.545
clusterdp
0.106
8.908
0.235
0.396
0.869
0.876
0.354
0.13
0.223
0.223
0.992
NaN
0.124
0.116
HDBSCAN
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AGNES
0.0
Infinity
0.241
0.398
0.286
0.0
NaN
0.13
0.874
0.874
1.0
NaN
1.0
0.546
c-Means
0.0
Infinity
0.231
0.39
0.4
0.0
NaN
0.126
0.873
0.873
0.862
0.636
1.0
0.546
k-Medoids (PAM)
0.0
9.54
0.244
0.353
0.0
0.0
0.267
0.119
0.874
0.874
0.534
NaN
1.0
0.546
DIANA
0.0
Infinity
0.244
0.398
0.0
0.0
NaN
0.128
0.874
0.874
1.0
NaN
1.0
0.546
DBSCAN
Infinity
-Infinity
0.221
0.394
0.873
1.0
0.356
0.127
0.127
0.127
1.0
NaN
0.0
0.0
Hierarchical Clustering
0.0
Infinity
0.237
0.398
0.0
0.0
NaN
0.13
0.874
0.874
0.999
NaN
1.0
0.546
fanny
0.0
Infinity
0.254
0.399
0.823
0.0
NaN
0.128
0.873
0.873
1.0
NaN
1.0
0.546
k-Means
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DensityCut
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clusterONE
Infinity
-Infinity
0.221
0.394
0.873
1.0
0.356
0.127
0.127
0.127
1.0
NaN
0.0
0.0
Affinity Propagation
0.0
Infinity
0.256
0.373
0.861
0.0
NaN
0.122
0.873
0.873
0.684
NaN
1.0
0.546
Markov Clustering
Infinity
-Infinity
0.221
0.394
0.873
1.0
0.356
0.127
0.127
0.127
1.0
NaN
0.0
0.0
Transitivity Clustering
0.0
Infinity
0.235
0.395
0.28
0.0
NaN
0.127
0.874
0.874
1.0
NaN
1.0
0.546
MCODE
0.863
0.379
0.23
0.354
0.866
0.266
0.285
0.12
0.677
0.677
0.63
-0.109
0.734
0.148