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 NaN k=373 Clustering
clusterdp NaN k=10
dc=0.9939378445571868
Clustering
AGNES 0.813 method=weighted
metric=euclidean
k=2
Clustering
c-Means 0.636 k=2
m=1.01
Clustering
k-Medoids (PAM) NaN k=40 Clustering
DIANA 0.769 metric=euclidean
k=3
Clustering
DBSCAN NaN eps=0.9363473678504585
MinPts=56
Clustering
Hierarchical Clustering NaN method=average
k=69
Clustering
fanny NaN k=4
membexp=2.0
Clustering
clusterONE NaN s=420
d=0.03333333333333333
Clustering
Affinity Propagation NaN dampfact=0.99
preference=0.9318007512683484
maxits=2750
convits=425
Clustering
Markov Clustering NaN I=3.451951951951952 Clustering
Transitivity Clustering NaN T=0.9290017831021845 Clustering
MCODE -0.109 v=0.9
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering