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=1049
dc=20.378526933333333
Clustering
AGNES 0.0 method=average
metric=euclidean
k=614
Clustering
c-Means 0.0 k=52
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=519 Clustering
DIANA 0.0 metric=euclidean
k=688
Clustering
DBSCAN 0.0 eps=11.644872533333334
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=single
k=789
Clustering
fanny 0.0 k=235
membexp=2.0
Clustering
clusterONE 1.0 s=140
d=0.1
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=32.751204
maxits=2000
convits=275
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=22.948791591591593 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=T
fluff=T
Clustering