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 0.493 k=123 Clustering
clusterdp 0.586 k=15
dc=1.0000000000000002
Clustering
AGNES 0.0 method=single
metric=euclidean
k=171
Clustering
c-Means 0.0 k=186
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=171 Clustering
DIANA 0.0 metric=euclidean
k=181
Clustering
DBSCAN 0.609 eps=0.9959854695365576
MinPts=89
Clustering
Hierarchical Clustering 0.0 method=single
k=184
Clustering
fanny 0.393 k=77
membexp=5.0
Clustering
clusterONE 0.609 s=190
d=0.2
Clustering
Affinity Propagation 0.573 dampfact=0.845
preference=0.9397820430483614
maxits=5000
convits=425
Clustering
Markov Clustering 0.609 I=5.536636636636637 Clustering
Transitivity Clustering 0.0 T=0.9998794435296267 Clustering
MCODE 0.594 v=0.0
cutoff=0.9849455107620905
haircut=F
fluff=F
Clustering