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=103 Clustering
clusterdp 0.452 k=22
dc=0.9511393567582567
Clustering
AGNES 1.0 method=single
metric=euclidean
k=105
Clustering
c-Means 1.0 k=56
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=101 Clustering
DIANA 1.0 metric=euclidean
k=105
Clustering
DBSCAN 0.0 eps=0.946485962163805
MinPts=49
Clustering
Hierarchical Clustering 1.0 method=complete
k=102
Clustering
fanny 1.0 k=26
membexp=1.1
Clustering
clusterONE 0.0 s=91
d=1.0
Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=4250
convits=200
Clustering
Markov Clustering 0.0 I=1.1 Clustering
Transitivity Clustering 1.0 T=0.9996506460514678 Clustering