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 0.143 k=108 Clustering
clusterdp 0.586 k=420
dc=73.27601433607948
Clustering
AGNES 0.631 method=weighted
metric=euclidean
k=275
Clustering
c-Means 0.256 k=425
m=3.5
Clustering
k-Medoids (PAM) 0.46 k=463 Clustering
DIANA 0.454 metric=euclidean
k=470
Clustering
DBSCAN 0.185 eps=111.84233767085814
MinPts=768
Clustering
Hierarchical Clustering 0.631 method=single
k=278
Clustering
fanny 0.258 k=442
membexp=5.0
Clustering
clusterONE 0.294 s=1
d=0.3
Clustering
Affinity Propagation 0.385 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 0.514 I=1.385085085085085 Clustering
Transitivity Clustering 0.633 T=1.8530365566260023 Clustering
MCODE 0.104 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering