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 0.035 k=42 Clustering
clusterdp 0.103 k=559
dc=42.42295566825654
Clustering
AGNES 0.109 method=single
metric=euclidean
k=260
Clustering
c-Means 0.058 k=455
m=1.01
Clustering
k-Medoids (PAM) 0.104 k=559 Clustering
DIANA 0.104 metric=euclidean
k=516
Clustering
DBSCAN 0.055 eps=111.84233767085814
MinPts=768
Clustering
Hierarchical Clustering 0.104 method=complete
k=555
Clustering
fanny 0.033 k=483
membexp=2.0
Clustering
clusterONE 0.101 s=1
d=0.6333333333333333
Clustering
Affinity Propagation 0.083 dampfact=0.9175
preference=0.0
maxits=4250
convits=350
Clustering
Markov Clustering 0.083 I=3.30940940940941 Clustering
Transitivity Clustering 0.103 T=4.748406176354131 Clustering
MCODE 0.063 v=0.4
cutoff=4.820790416847334
haircut=T
fluff=T
Clustering