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=104 Clustering
clusterdp 0.548 k=24
dc=0.967426237838838
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=103
Clustering
c-Means 0.0 k=77
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=101 Clustering
DIANA 0.0 metric=euclidean
k=101
Clustering
DBSCAN 1.0 eps=0.9883665135138708
MinPts=35
Clustering
Hierarchical Clustering 0.0 method=complete
k=105
Clustering
fanny 0.0 k=29
membexp=5.0
Clustering
clusterONE 1.0 s=56
d=0.3
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.0000000000000002
maxits=4250
convits=275
Clustering
Markov Clustering 1.0 I=3.487587587587588 Clustering
Transitivity Clustering 0.0 T=0.9998602584205872 Clustering