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 0.181 k=133 Clustering
clusterdp 0.832 k=106
dc=23.28974506666667
Clustering
AGNES 0.848 method=average
metric=euclidean
k=85
Clustering
c-Means 0.627 k=81
m=3.5
Clustering
k-Medoids (PAM) 0.852 k=105 Clustering
DIANA 0.391 metric=euclidean
k=425
Clustering
DBSCAN 0.124 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.848 method=complete
k=128
Clustering
fanny 0.657 k=172
membexp=5.0
Clustering
clusterONE 0.056 s=1
d=0.7
Clustering
Affinity Propagation 0.789 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.675 I=4.494294294294295 Clustering
Transitivity Clustering 0.844 T=4.808318238238239 Clustering
MCODE 0.73 v=0.4
cutoff=7.278045333333334
haircut=F
fluff=F
Clustering