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=559
dc=115.69897000433602
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=511
Clustering
c-Means 0.0 k=1015
m=1.01
Clustering
k-Medoids (PAM) 0.0 k=645 Clustering
DIANA 0.0 metric=euclidean
k=967
Clustering
DBSCAN 0.0 eps=88.70254366999094
MinPts=663
Clustering
Hierarchical Clustering 0.0 method=complete
k=1043
Clustering
fanny 0.402 k=505
membexp=5.0
Clustering
clusterONE 0.751 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=57.84948500216801
maxits=2750
convits=500
Clustering
Markov Clustering 0.304 I=7.389689689689691 Clustering
Transitivity Clustering 0.0 T=106.08634286683863 Clustering
MCODE 0.981 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=F
Clustering