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=1046 Clustering
clusterdp 0.0 k=455
dc=29.112181333333336
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=780
Clustering
c-Means 0.0 k=106
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=617 Clustering
DIANA 0.0 metric=euclidean
k=883
Clustering
DBSCAN 0.0 eps=0.0
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=complete
k=991
Clustering
fanny 0.0 k=490
membexp=5.0
Clustering
clusterONE 1.0 s=803
d=0.3333333333333333
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=43.668272
maxits=5000
convits=275
Clustering
Markov Clustering 0.001 I=9.91091091091091 Clustering
Transitivity Clustering 0.0 T=9.87890838038038 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering