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 0.985 k=103 Clustering
clusterdp 0.984 k=1095
dc=0.23333333333333334
Clustering
AGNES 0.984 method=flexible
metric=euclidean
k=968
Clustering
c-Means 0.984 k=322
m=5.0
Clustering
k-Medoids (PAM) 0.993 k=154 Clustering
DIANA 0.989 metric=euclidean
k=978
Clustering
DBSCAN 0.997 eps=0.1
MinPts=766
Clustering
Hierarchical Clustering 0.996 method=single
k=150
Clustering
fanny 0.997 k=528
membexp=1.1
Clustering
clusterONE 0.996 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.443 dampfact=0.845
preference=0.5
maxits=5000
convits=275
Clustering
Markov Clustering 0.993 I=3.5855855855855854 Clustering
Transitivity Clustering 0.996 T=0.5425425425425425 Clustering