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=190 Clustering
clusterdp 0.67 k=22
dc=0.9397820430483615
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=187
Clustering
c-Means 0.0 k=5
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=182 Clustering
DIANA 0.0 metric=euclidean
k=161
Clustering
DBSCAN 1.0 eps=0.8956222079504931
MinPts=152
Clustering
Hierarchical Clustering 0.0 method=single
k=184
Clustering
fanny 0.0 k=76
membexp=1.1
Clustering
clusterONE 1.0 s=152
d=0.8333333333333334
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.0000000000000002
maxits=3500
convits=275
Clustering
Markov Clustering 1.0 I=6.605705705705706 Clustering
Transitivity Clustering 0.0 T=0.9992766611777584 Clustering
MCODE 0.211 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T
Clustering