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=9 Clustering
clusterdp NaN k=24
dc=0.9658470484804094
Clustering
AGNES 0.833 method=complete
metric=euclidean
k=3
Clustering
c-Means 0.728 k=2
m=1.5
Clustering
k-Medoids (PAM) NaN k=3 Clustering
DIANA 0.841 metric=euclidean
k=1
Clustering
DBSCAN NaN eps=0.9146176212010232
MinPts=290
Clustering
Hierarchical Clustering NaN method=average
k=2
Clustering
fanny NaN k=192
membexp=1.1
Clustering
clusterONE NaN s=52
d=1.0
Clustering
Affinity Propagation NaN dampfact=0.7725
preference=1.0000000000000002
maxits=2750
convits=350
Clustering
Markov Clustering NaN I=3.870670670670671 Clustering
Transitivity Clustering NaN T=0.9952565345111681 Clustering
MCODE -0.027 v=0.9
cutoff=0.9946636013250642
haircut=F
fluff=F
Clustering