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 0.0 k=1044 Clustering
clusterdp 0.0 k=942
dc=69.41938200260161
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=626
Clustering
c-Means 0.0 k=321
m=2.25
Clustering
k-Medoids (PAM) 0.0 k=627 Clustering
DIANA 0.0 metric=euclidean
k=1013
Clustering
DBSCAN 0.0 eps=96.41580833694668
MinPts=698
Clustering
Hierarchical Clustering 0.0 method=complete
k=615
Clustering
fanny 0.0 k=376
membexp=1.1
Clustering
clusterONE 0.012 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=115.69897000433602
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=9.91981981981982 Clustering
Transitivity Clustering 0.0 T=91.14623562904148 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering