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=34.9346176
Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=831
Clustering
c-Means 0.0 k=245
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=969 Clustering
DIANA 0.0 metric=euclidean
k=688
Clustering
DBSCAN 0.0 eps=11.644872533333334
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=average
k=279
Clustering
fanny 0.0 k=282
membexp=2.0
Clustering
clusterONE 1.0 s=594
d=0.2
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=43.668272
maxits=4250
convits=200
Clustering
Markov Clustering 0.001 I=9.928728728728728 Clustering
Transitivity Clustering 0.0 T=15.168058442442442 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=T
fluff=F
Clustering