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 0.873 k=419 Clustering
clusterdp 0.223 k=23
dc=0.966658145064526
Clustering
AGNES 0.874 method=single
metric=euclidean
k=399
Clustering
c-Means 0.873 k=398
m=2.25
Clustering
k-Medoids (PAM) 0.874 k=402 Clustering
DIANA 0.874 metric=euclidean
k=399
Clustering
DBSCAN 0.127 eps=0.954533834178899
MinPts=28
Clustering
Hierarchical Clustering 0.874 method=single
k=398
Clustering
fanny 0.873 k=86
membexp=5.0
Clustering
clusterONE 0.127 s=308
d=0.4
Clustering
Affinity Propagation 0.873 dampfact=0.9175
preference=1.0000000000000002
maxits=4250
convits=500
Clustering
Markov Clustering 0.127 I=1.3583583583583583 Clustering
Transitivity Clustering 0.874 T=0.9992718131600226 Clustering
MCODE 0.677 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=F
Clustering