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=1043 Clustering
clusterdp 0.0 k=838
dc=73.27601433607948
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=766
Clustering
c-Means 0.0 k=97
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=544 Clustering
DIANA 0.0 metric=euclidean
k=776
Clustering
DBSCAN 0.0 eps=88.70254366999094
MinPts=663
Clustering
Hierarchical Clustering 0.0 method=single
k=782
Clustering
fanny 0.0 k=209
membexp=1.1
Clustering
clusterONE 0.012 s=1
d=0.4
Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=115.69897000433602
maxits=2750
convits=275
Clustering
Markov Clustering 0.001 I=9.857457457457457 Clustering
Transitivity Clustering 0.0 T=55.59109669878007 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=T
Clustering