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=8
dc=1.0000000000000002
Clustering
AGNES 1.0 method=ward
metric=euclidean
k=103
Clustering
c-Means 1.0 k=66
m=1.01
Clustering
k-Medoids (PAM) 1.0 k=103 Clustering
DIANA 1.0 metric=euclidean
k=105
Clustering
DBSCAN 0.0 eps=1.0000000000000002
MinPts=105
Clustering
Hierarchical Clustering 1.0 method=average
k=103
Clustering
fanny 1.0 k=21
membexp=5.0
Clustering
clusterONE 0.0 s=87
d=0.5
Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=1.0000000000000002
maxits=3500
convits=500
Clustering
Markov Clustering 0.0 I=8.262762762762764 Clustering
Transitivity Clustering 1.0 T=0.9996506460514678 Clustering