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=24
dc=0.9441592648665791
Clustering
AGNES 1.0 method=ward
metric=euclidean
k=105
Clustering
c-Means 1.0 k=87
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=101 Clustering
DIANA 1.0 metric=euclidean
k=105
Clustering
DBSCAN 0.0 eps=0.9953466054055485
MinPts=105
Clustering
Hierarchical Clustering 1.0 method=complete
k=101
Clustering
fanny 1.0 k=18
membexp=2.0
Clustering
clusterONE 0.0 s=70
d=0.9
Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=2750
convits=200
Clustering
Markov Clustering 0.0 I=9.688188188188189 Clustering
Transitivity Clustering 1.0 T=0.9996506460514678 Clustering