Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering -0.002 k=1046 Clustering
clusterdp 0.126 k=246
dc=21.834136
Clustering
AGNES 0.172 method=single
metric=euclidean
k=316
Clustering
c-Means 0.075 k=107
m=5.0
Clustering
k-Medoids (PAM) 0.152 k=123 Clustering
DIANA 0.128 metric=euclidean
k=501
Clustering
DBSCAN 0.002 eps=40.757053866666666
MinPts=733
Clustering
Hierarchical Clustering 0.237 method=complete
k=159
Clustering
fanny 0.091 k=191
membexp=1.1
Clustering
clusterONE 0.007 s=1
d=0.7
Clustering
Affinity Propagation 0.147 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.069 I=3.5054054054054054 Clustering
Transitivity Clustering 0.14 T=8.174141005005005 Clustering
MCODE 0.104 v=0.9
cutoff=10.917068
haircut=T
fluff=T
Clustering