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=1046 Clustering
clusterdp 0.0 k=979
dc=37.84583573333334
Clustering
AGNES 0.0 method=ward
metric=euclidean
k=652
Clustering
c-Means 0.0 k=385
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=950 Clustering
DIANA 0.0 metric=euclidean
k=937
Clustering
DBSCAN 0.0 eps=11.644872533333334
MinPts=803
Clustering
Hierarchical Clustering 0.0 method=single
k=307
Clustering
fanny 0.0 k=87
membexp=1.1
Clustering
clusterONE 1.0 s=315
d=0.5
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=43.668272
maxits=2000
convits=425
Clustering
Markov Clustering 0.001 I=10.0 Clustering
Transitivity Clustering 0.0 T=19.233272952952955 Clustering
MCODE 0.024 v=0.4
cutoff=3.639022666666667
haircut=F
fluff=T
Clustering