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 0.539 k=4 Clustering
clusterdp 0.482 k=5
dc=96.99186460293474
Clustering
AGNES 0.1 method=ward
metric=euclidean
k=46
Clustering
c-Means 0.539 k=2
m=5.0
Clustering
k-Medoids (PAM) 0.112 k=47 Clustering
DIANA 0.123 metric=euclidean
k=60
Clustering
DBSCAN 0.405 eps=21.553747689541055
MinPts=24
Clustering
Hierarchical Clustering 0.077 method=single
k=49
Clustering
fanny 0.484 k=39
membexp=2.0
Clustering
clusterONE 0.558 s=16
d=0.3
Clustering
Affinity Propagation 0.5 dampfact=0.9175
preference=242.47966150733686
maxits=3500
convits=275
Clustering
Markov Clustering 0.49 I=1.1 Clustering
Transitivity Clustering 0.025 T=265.7001028995977 Clustering
MCODE 0.499 v=0
cutoff=323.3062153431158
haircut=F
fluff=F
Clustering