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=595
dc=39.301444800000006
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=652
Clustering
c-Means 0.0 k=411
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=959 Clustering
DIANA 0.0 metric=euclidean
k=603
Clustering
DBSCAN 0.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=single
k=647
Clustering
fanny 0.0 k=131
membexp=5.0
Clustering
clusterONE 1.0 s=943
d=0.7333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=43.668272
maxits=3500
convits=275
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=15.211770426426428 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering