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 0.25 k=1044 Clustering
clusterdp 0.0 k=280
dc=30.85305866782294
Clustering
AGNES 0.0 method=single
metric=euclidean
k=587
Clustering
c-Means 0.0 k=1015
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=663 Clustering
DIANA 0.0 metric=euclidean
k=644
Clustering
DBSCAN 0.0 eps=69.41938200260161
MinPts=802
Clustering
Hierarchical Clustering 0.0 method=complete
k=628
Clustering
fanny 0.402 k=505
membexp=5.0
Clustering
clusterONE 0.751 s=1
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=115.69897000433602
maxits=4250
convits=425
Clustering
Markov Clustering 0.304 I=7.389689689689691 Clustering
Transitivity Clustering 0.0 T=5.443294885088881 Clustering
MCODE 0.981 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering