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=1044 Clustering
clusterdp 0.0 k=2
dc=19.283161667389336
Clustering
AGNES 0.0 method=average
metric=euclidean
k=868
Clustering
c-Means 0.0 k=857
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=748 Clustering
DIANA 0.0 metric=euclidean
k=596
Clustering
DBSCAN 0.0 eps=92.5591760034688
MinPts=628
Clustering
Hierarchical Clustering 0.0 method=average
k=634
Clustering
fanny 0.0 k=914
membexp=1.1
Clustering
clusterONE 0.012 s=1
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=115.69897000433602
maxits=2000
convits=200
Clustering
Markov Clustering 0.001 I=9.902002002002002 Clustering
Transitivity Clustering 0.0 T=85.70294074395261 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering