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clustering evaluation framework
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twonorm_50d
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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 'twonorm_50d'?
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
0.318
2.139
0.859
0.858
0.0
0.0
0.76
0.613
0.758
0.758
1.0
NaN
1.0
0.442
Self Organizing Maps
0.662
2.139
0.98
0.98
0.007
0.0
0.96
0.924
0.961
0.961
0.961
0.075
1.0
0.862
Spectral Clustering
0.922
2.135
0.97
0.97
0.047
0.004
0.941
0.889
0.942
0.942
0.942
0.075
0.996
0.816
clusterdp
0.432
2.316
0.825
0.831
0.095
0.022
0.732
0.576
0.716
0.716
0.99
0.13
0.978
0.473
HDBSCAN
0.0
NaN
0.667
0.833
0.25
0.0
NaN
0.497
0.512
0.512
1.0
NaN
1.0
0.231
AGNES
0.0
Infinity
0.915
0.914
0.0
0.0
NaN
0.731
0.844
0.844
1.0
NaN
1.0
0.631
c-Means
0.0
Infinity
0.977
0.975
0.0
0.0
NaN
0.913
0.956
0.956
0.99
0.091
1.0
0.839
k-Medoids (PAM)
0.318
2.139
0.859
0.858
0.0
0.0
0.76
0.613
0.758
0.758
0.77
0.064
1.0
0.442
DIANA
0.0
Infinity
0.97
0.97
0.0
0.0
NaN
0.889
0.942
0.942
1.0
NaN
1.0
0.835
DBSCAN
0.0
Infinity
0.667
0.833
0.0
0.0
NaN
0.497
0.503
0.503
1.0
NaN
1.0
0.234
Hierarchical Clustering
0.0
Infinity
0.897
0.88
0.0
0.0
NaN
0.677
0.82
0.82
0.99
NaN
1.0
0.524
fanny
0.0
Infinity
0.975
0.975
0.019
0.0
NaN
0.906
0.951
0.951
1.0
0.09
1.0
0.838
k-Means
0.348
2.138
0.975
0.975
0.0
0.0
0.951
0.906
0.951
0.951
0.951
0.075
1.0
0.838
DensityCut
0.968
2.005
0.737
0.833
0.188
0.083
0.705
0.497
0.651
0.651
1.0
NaN
0.917
0.318
clusterONE
0.774
2.12
0.925
0.924
0.08
0.006
0.861
0.757
0.861
0.861
1.0
NaN
0.994
0.684
Affinity Propagation
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--
--
--
--
--
--
--
--
--
--
--
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Markov Clustering
Infinity
-Infinity
0.667
0.833
0.503
1.0
0.705
0.497
0.497
0.497
1.0
NaN
0.0
0.0
Transitivity Clustering
0.0
Infinity
0.827
0.833
0.0
0.0
NaN
0.522
0.748
0.748
1.0
NaN
1.0
0.459
MCODE
0.87
2.066
0.717
0.833
0.269
0.052
0.705
0.497
0.622
0.622
1.0
NaN
0.948
0.242