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 0.78 k=1044 Clustering
clusterdp 0.875 k=420
dc=50.13622033521228
Clustering
AGNES 0.881 method=weighted
metric=euclidean
k=345
Clustering
c-Means 0.799 k=561
m=1.01
Clustering
k-Medoids (PAM) 0.853 k=463 Clustering
DIANA 0.846 metric=euclidean
k=487
Clustering
DBSCAN 0.793 eps=111.84233767085814
MinPts=768
Clustering
Hierarchical Clustering 0.881 method=average
k=345
Clustering
fanny 0.791 k=505
membexp=5.0
Clustering
clusterONE 0.825 s=1
d=0.4
Clustering
Affinity Propagation 0.815 dampfact=0.9175
preference=0.0
maxits=4250
convits=350
Clustering
Markov Clustering 0.832 I=1.598898898898899 Clustering
Transitivity Clustering 0.881 T=1.1581478478912515 Clustering
MCODE 0.57 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering