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 0.0 k=1043 Clustering
clusterdp 0.0 k=1047
dc=107.98570533738028
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=715
Clustering
c-Means 0.0 k=220
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=552 Clustering
DIANA 0.0 metric=euclidean
k=703
Clustering
DBSCAN 0.0 eps=7.713264666955735
MinPts=733
Clustering
Hierarchical Clustering 0.0 method=average
k=936
Clustering
fanny 0.0 k=61
membexp=1.1
Clustering
clusterONE 0.012 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=115.69897000433602
maxits=5000
convits=500
Clustering
Markov Clustering 0.001 I=10.0 Clustering
Transitivity Clustering 0.0 T=19.688513414151274 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=T
Clustering