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 1.993 k=3 Clustering
clusterdp 2.01 k=979
dc=11.644872533333334
Clustering
AGNES 1.982 method=flexible
metric=euclidean
k=18
Clustering
c-Means 2.002 k=2
m=1.5
Clustering
k-Medoids (PAM) 2.038 k=966 Clustering
DIANA 1.896 metric=euclidean
k=11
Clustering
DBSCAN 0.0 eps=36.39022666666666
MinPts=664
Clustering
Hierarchical Clustering 2.524 method=average
k=1048
Clustering
fanny 2.003 k=68
membexp=1.1
Clustering
clusterONE -Infinity s=1
d=0.7
Clustering
Affinity Propagation 1.097 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 2.041 I=1.4830830830830832 Clustering
Transitivity Clustering Infinity T=43.58084803203204 Clustering
MCODE 2.001 v=0.3
cutoff=40.02924933333333
haircut=T
fluff=T
Clustering