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 0.421 k=102 Clustering
clusterdp 0.599 k=350
dc=88.70254366999094
Clustering
AGNES 0.649 method=weighted
metric=euclidean
k=189
Clustering
c-Means 0.442 k=154
m=5.0
Clustering
k-Medoids (PAM) 0.498 k=176 Clustering
DIANA 0.434 metric=euclidean
k=450
Clustering
DBSCAN 0.188 eps=111.84233767085814
MinPts=768
Clustering
Hierarchical Clustering 0.649 method=complete
k=187
Clustering
fanny 0.399 k=253
membexp=1.1
Clustering
clusterONE 0.544 s=1
d=0.7
Clustering
Affinity Propagation 0.449 dampfact=0.9175
preference=0.0
maxits=4250
convits=350
Clustering
Markov Clustering 0.613 I=1.3138138138138138 Clustering
Transitivity Clustering 0.653 T=1.505592202258627 Clustering
MCODE 0.393 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering