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 1.0 k=189 Clustering
clusterdp 0.33 k=2
dc=0.8835786165601653
Clustering
AGNES 1.0 method=complete
metric=euclidean
k=166
Clustering
c-Means 1.0 k=21
m=3.5
Clustering
k-Medoids (PAM) 1.0 k=183 Clustering
DIANA 1.0 metric=euclidean
k=161
Clustering
DBSCAN 0.0 eps=0.9197093907311485
MinPts=152
Clustering
Hierarchical Clustering 1.0 method=single
k=166
Clustering
fanny 1.0 k=65
membexp=1.1
Clustering
clusterONE 0.0 s=133
d=0.7666666666666667
Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=200
Clustering
Markov Clustering 0.0 I=9.973273273273273 Clustering
Transitivity Clustering 1.0 T=0.999397217648132 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=F
Clustering