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 0.989 k=1046 Clustering
clusterdp 0.996 k=246
dc=21.834136
Clustering
AGNES 0.995 method=ward
metric=euclidean
k=294
Clustering
c-Means 0.991 k=213
m=5.0
Clustering
k-Medoids (PAM) 0.996 k=112 Clustering
DIANA 0.991 metric=euclidean
k=470
Clustering
DBSCAN 0.989 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.997 method=complete
k=228
Clustering
fanny 0.993 k=219
membexp=2.0
Clustering
clusterONE 0.011 s=1
d=0.7
Clustering
Affinity Propagation 0.996 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.991 I=8.832932932932934 Clustering
Transitivity Clustering 0.997 T=8.174141005005005 Clustering
MCODE 0.97 v=0.8
cutoff=5.458534
haircut=T
fluff=F
Clustering