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=944
dc=16.011699733333334
Clustering
AGNES 0.0 method=single
metric=euclidean
k=537
Clustering
c-Means 0.0 k=128
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=817 Clustering
DIANA 0.0 metric=euclidean
k=605
Clustering
DBSCAN 0.0 eps=39.301444800000006
MinPts=699
Clustering
Hierarchical Clustering 0.0 method=average
k=402
Clustering
fanny 0.0 k=417
membexp=1.1
Clustering
clusterONE 1.0 s=1013
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=43.668272
maxits=2750
convits=200
Clustering
Markov Clustering 0.001 I=9.884184184184184 Clustering
Transitivity Clustering 0.0 T=29.199605301301304 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=F
Clustering