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 0.741 k=3 Clustering
clusterdp 0.651 k=12
dc=313.4312588334348
Clustering
AGNES 0.733 method=average
metric=euclidean
k=50
Clustering
c-Means 0.638 k=9
m=5.0
Clustering
k-Medoids (PAM) 0.549 k=68 Clustering
DIANA 0.613 metric=euclidean
k=92
Clustering
DBSCAN 0.454 eps=336.6483891173929
MinPts=439
Clustering
Hierarchical Clustering 0.733 method=complete
k=52
Clustering
fanny 0.537 k=50
membexp=1.1
Clustering
clusterONE 0.138 s=1
d=0.8
Clustering
Affinity Propagation 0.541 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 0.59 I=3.4341341341341343 Clustering
Transitivity Clustering 0.719 T=2.4402389187343383 Clustering