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 0.224 k=370 Clustering
clusterdp 0.852 k=141
dc=21.834136
Clustering
AGNES 0.851 method=average
metric=euclidean
k=85
Clustering
c-Means 0.677 k=107
m=5.0
Clustering
k-Medoids (PAM) 0.872 k=112 Clustering
DIANA 0.495 metric=euclidean
k=441
Clustering
DBSCAN 0.179 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.849 method=complete
k=184
Clustering
fanny 0.71 k=187
membexp=2.0
Clustering
clusterONE 0.023 s=1
d=0.7
Clustering
Affinity Propagation 0.837 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.645 I=4.61011011011011 Clustering
Transitivity Clustering 0.84 T=6.731645533533533 Clustering
MCODE 0.755 v=0.4
cutoff=7.278045333333334
haircut=F
fluff=F
Clustering