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=1043 Clustering
clusterdp 0.0 k=663
dc=111.84233767085814
Clustering
AGNES 0.0 method=single
metric=euclidean
k=575
Clustering
c-Means 0.0 k=252
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=527 Clustering
DIANA 0.0 metric=euclidean
k=992
Clustering
DBSCAN 0.0 eps=53.99285266869014
MinPts=698
Clustering
Hierarchical Clustering 0.0 method=complete
k=921
Clustering
fanny 0.0 k=282
membexp=2.0
Clustering
clusterONE 0.012 s=1
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=86.774227503252
maxits=5000
convits=200
Clustering
Markov Clustering 0.001 I=9.91981981981982 Clustering
Transitivity Clustering 0.0 T=14.245218529062393 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering