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=2
dc=111.84233767085814
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=715
Clustering
c-Means 0.0 k=97
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=821 Clustering
DIANA 0.0 metric=euclidean
k=992
Clustering
DBSCAN 0.0 eps=92.5591760034688
MinPts=628
Clustering
Hierarchical Clustering 0.0 method=average
k=892
Clustering
fanny 0.0 k=474
membexp=2.0
Clustering
clusterONE 0.012 s=1
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=86.774227503252
maxits=5000
convits=275
Clustering
Markov Clustering 0.001 I=10.0 Clustering
Transitivity Clustering 0.0 T=44.125433004656685 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=T
Clustering