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 0.78 k=1046 Clustering
clusterdp 0.941 k=141
dc=21.834136
Clustering
AGNES 0.921 method=single
metric=euclidean
k=237
Clustering
c-Means 0.843 k=193
m=2.25
Clustering
k-Medoids (PAM) 0.94 k=112 Clustering
DIANA 0.846 metric=euclidean
k=477
Clustering
DBSCAN 0.784 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.947 method=complete
k=184
Clustering
fanny 0.879 k=219
membexp=2.0
Clustering
clusterONE 0.0 s=1
d=0.7
Clustering
Affinity Propagation 0.931 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.857 I=4.8684684684684685 Clustering
Transitivity Clustering 0.943 T=5.070590142142142 Clustering
MCODE 0.838 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering