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 0.0 k=1046 Clustering
clusterdp 0.0 k=2
dc=26.2009632
Clustering
AGNES 0.0 method=single
metric=euclidean
k=933
Clustering
c-Means 0.0 k=287
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=347 Clustering
DIANA 0.0 metric=euclidean
k=603
Clustering
DBSCAN 0.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=complete
k=991
Clustering
fanny 0.0 k=490
membexp=5.0
Clustering
clusterONE 1.0 s=1013
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=4250
convits=200
Clustering
Markov Clustering 0.001 I=9.866366366366366 Clustering
Transitivity Clustering 0.0 T=19.451832872872874 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=T
fluff=T
Clustering