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 0.844 k=644 Clustering
clusterdp 0.0 k=804
dc=34.9346176
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=972
Clustering
c-Means 0.0 k=1017
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=949 Clustering
DIANA 0.0 metric=euclidean
k=904
Clustering
DBSCAN 0.0 eps=39.301444800000006
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=average
k=1032
Clustering
fanny 0.054 k=458
membexp=5.0
Clustering
clusterONE 0.989 s=210
d=0.6333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=5000
convits=500
Clustering
Markov Clustering 0.198 I=9.821821821821821 Clustering
Transitivity Clustering 0.0 T=42.225776528528534 Clustering
MCODE 0.789 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering