Clust
Eval
clustering evaluation framework
Welcome
Overview
Clustering Methods
Data Sets
Measures
Submit
Advanced
Help
About us
Location:
Data Sets
»
ppi_mips
»
Best Qualities
Navigation:
General
Statistics
Best Qualities
Best Parameters
All Clusterings
Hints:
How well do clustering methods perform on 'ppi_mips'?
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
--
--
--
--
--
--
--
--
--
--
--
--
--
--
Self Organizing Maps
--
--
--
--
--
--
--
--
--
--
--
--
--
--
Spectral Clustering
0.753
2.022
0.535
0.598
0.46
0.0
0.582
0.407
0.985
0.985
0.991
0.0
1.0
0.817
clusterdp
0.754
NaN
0.311
0.269
0.336
0.0
NaN
0.067
0.984
0.984
0.979
NaN
1.0
0.803
HDBSCAN
--
--
--
--
--
--
--
--
--
--
--
--
--
--
AGNES
1.144
NaN
0.33
0.284
0.129
0.0
NaN
0.076
0.984
0.984
1.0
NaN
1.0
0.809
c-Means
0.494
NaN
0.306
0.26
0.936
0.0
NaN
0.024
0.984
0.984
1.0
0.012
1.0
0.8
k-Medoids (PAM)
0.311
NaN
0.822
0.891
0.0
0.0
0.833
0.695
0.993
0.993
1.0
0.015
1.0
0.952
DIANA
Infinity
NaN
0.334
0.271
0.03
0.0
NaN
0.33
0.989
NaN
1.0
NaN
1.0
0.82
DBSCAN
0.491
NaN
0.89
0.914
0.144
0.003
0.912
0.836
0.997
0.997
1.0
NaN
0.997
0.968
Hierarchical Clustering
0.113
NaN
0.88
0.916
0.0
0.0
NaN
0.811
0.996
0.996
1.0
0.958
1.0
0.963
fanny
0.0
NaN
0.888
0.925
0.17
0.0
NaN
0.824
0.997
0.997
1.0
0.945
1.0
0.968
k-Means
--
--
--
--
--
--
--
--
--
--
--
--
--
--
DensityCut
--
--
--
--
--
--
--
--
--
--
--
--
--
--
clusterONE
0.208
2.5
0.87
0.912
0.192
0.004
0.889
0.794
0.996
0.996
1.0
NaN
0.996
0.96
Affinity Propagation
0.674
1.623
0.17
0.254
0.972
0.567
0.168
0.028
0.443
0.443
1.0
NaN
0.433
0.384
Markov Clustering
0.31
3.236
0.821
0.888
0.291
0.007
0.839
0.705
0.993
0.993
1.0
0.016
0.993
0.951
Transitivity Clustering
0.0
NaN
0.881
0.92
0.183
0.0
NaN
0.808
0.996
0.996
1.0
NaN
1.0
0.965
MCODE
--
--
--
--
--
--
--
--
--
--
--
--
--
--