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 0.659 k=961 Clustering
clusterdp 0.539 k=106
dc=42.212662933333334
Clustering
AGNES 0.513 method=weighted
metric=euclidean
k=1036
Clustering
c-Means 0.573 k=985
m=1.5
Clustering
k-Medoids (PAM) 0.132 k=1028 Clustering
DIANA 0.509 metric=euclidean
k=1046
Clustering
DBSCAN Infinity eps=2.9112181333333336
MinPts=105
Clustering
Hierarchical Clustering 0.014 method=average
k=1048
Clustering
fanny 0.495 k=42
membexp=2.0
Clustering
clusterONE Infinity s=1
d=0.7
Clustering
Affinity Propagation 0.053 dampfact=0.7725
preference=32.751204
maxits=5000
convits=500
Clustering
Markov Clustering 0.538 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=43.58084803203204 Clustering
MCODE 0.896 v=0.1
cutoff=38.209738
haircut=T
fluff=F
Clustering