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 NaN k=3 Clustering
clusterdp NaN k=7
dc=0.8795640860967228
Clustering
AGNES 0.782 method=ward
metric=euclidean
k=2
Clustering
c-Means 0.483 k=2
m=1.01
Clustering
k-Medoids (PAM) NaN k=4 Clustering
DIANA 0.782 metric=euclidean
k=2
Clustering
DBSCAN NaN eps=0.9357675125849189
MinPts=164
Clustering
Hierarchical Clustering NaN method=average
k=168
Clustering
fanny NaN k=5
membexp=5.0
Clustering
clusterONE NaN s=139
d=0.16666666666666666
Clustering
Affinity Propagation NaN dampfact=0.7
preference=0.8795640860967228
maxits=3500
convits=275
Clustering
Markov Clustering NaN I=1.2959959959959961 Clustering
Transitivity Clustering NaN T=0.9081359695752781 Clustering
MCODE 0.514 v=0.9
cutoff=0.9698910215241808
haircut=T
fluff=F
Clustering