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clustering evaluation framework
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Location:
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coli_need
»
Best Qualities
Navigation:
General
Statistics
Best Qualities
Best Parameters
All Clusterings
Hints:
How well do clustering methods perform on 'coli_need'?
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
0.868
1.565
0.493
0.595
0.0
0.0
0.473
0.301
0.614
0.614
0.583
NaN
1.0
0.359
clusterdp
0.1
9.974
0.547
0.733
0.609
0.548
0.612
0.381
0.478
0.478
0.975
NaN
0.452
0.192
HDBSCAN
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AGNES
0.0
Infinity
0.55
0.739
0.0
0.0
NaN
0.387
0.614
0.614
1.0
NaN
1.0
0.359
c-Means
0.0
Infinity
0.536
0.703
0.0
0.0
NaN
0.361
0.614
0.614
0.854
0.651
1.0
0.358
k-Medoids (PAM)
0.013
3.639
0.546
0.728
0.0
0.0
0.605
0.381
0.614
0.614
0.951
NaN
1.0
0.359
DIANA
0.0
Infinity
0.55
0.739
0.0
0.0
NaN
0.387
0.614
0.614
1.0
NaN
1.0
0.359
DBSCAN
Infinity
-Infinity
0.55
0.739
0.613
1.0
0.622
0.387
0.387
0.387
1.0
NaN
0.0
0.0
Hierarchical Clustering
0.0
Infinity
0.547
0.733
0.0
0.0
NaN
0.381
0.614
0.614
0.975
NaN
1.0
0.359
fanny
0.0
Infinity
0.551
0.739
0.523
0.0
NaN
0.39
0.613
0.613
1.0
NaN
1.0
0.356
k-Means
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DensityCut
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clusterONE
Infinity
-Infinity
0.55
0.739
0.613
1.0
0.622
0.387
0.387
0.387
1.0
NaN
0.0
0.0
Affinity Propagation
0.0
Infinity
0.55
0.739
0.578
0.0
NaN
0.387
0.613
0.613
1.0
NaN
1.0
0.356
Markov Clustering
Infinity
-Infinity
0.55
0.739
0.613
1.0
0.622
0.387
0.387
0.387
1.0
NaN
0.0
0.0
Transitivity Clustering
0.0
Infinity
0.55
0.739
0.0
0.0
NaN
0.387
0.614
0.614
1.0
NaN
1.0
0.359
MCODE
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