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 0.859 k=7 Clustering
clusterdp 0.292 k=176
dc=92.5591760034688
Clustering
AGNES 0.222 method=complete
metric=euclidean
k=1034
Clustering
c-Means 0.5 k=2
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=1046 Clustering
DIANA 0.165 metric=euclidean
k=1047
Clustering
DBSCAN 0.222 eps=65.56274966912375
MinPts=698
Clustering
Hierarchical Clustering 0.165 method=complete
k=1047
Clustering
fanny 0.5 k=165
membexp=5.0
Clustering
clusterONE 0.925 s=1
d=0.9
Clustering
Affinity Propagation 0.396 dampfact=0.99
preference=115.69897000433602
maxits=4250
convits=425
Clustering
Markov Clustering 0.899 I=9.902002002002002 Clustering
Transitivity Clustering 0.0 T=91.95693912256536 Clustering
MCODE 0.709 v=0.2
cutoff=57.849485002168
haircut=T
fluff=F
Clustering