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 1.0 k=1043 Clustering
clusterdp 1.0 k=2
dc=11.5698970004336
Clustering
AGNES 1.0 method=single
metric=euclidean
k=587
Clustering
c-Means 1.0 k=1004
m=2.25
Clustering
k-Medoids (PAM) 1.0 k=663 Clustering
DIANA 1.0 metric=euclidean
k=644
Clustering
DBSCAN 1.0 eps=26.99642633434507
MinPts=733
Clustering
Hierarchical Clustering 1.0 method=complete
k=628
Clustering
fanny 1.0 k=329
membexp=2.0
Clustering
clusterONE 0.988 s=1
d=0.4
Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=115.69897000433602
maxits=4250
convits=425
Clustering
Markov Clustering 0.999 I=9.902002002002002 Clustering
Transitivity Clustering 1.0 T=5.443294885088881 Clustering
MCODE 0.68 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering