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=1044 Clustering
clusterdp 0.0 k=803
dc=50.13622033521228
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=779
Clustering
c-Means 0.0 k=220
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=520 Clustering
DIANA 0.0 metric=euclidean
k=693
Clustering
DBSCAN 0.0 eps=46.2795880017344
MinPts=698
Clustering
Hierarchical Clustering 0.0 method=average
k=581
Clustering
fanny 0.0 k=30
membexp=5.0
Clustering
clusterONE 0.012 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=57.84948500216801
maxits=3500
convits=425
Clustering
Markov Clustering 0.001 I=9.857457457457457 Clustering
Transitivity Clustering 0.0 T=81.9968676307006 Clustering
MCODE 0.32 v=0.8
cutoff=4.820790416847334
haircut=F
fluff=T
Clustering