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 0.063 k=47 Clustering
clusterdp 0.04 k=5
dc=162.51991198770693
Clustering
AGNES 0.111 method=ward
metric=euclidean
k=149
Clustering
c-Means 0.066 k=98
m=2.25
Clustering
k-Medoids (PAM) 0.103 k=237 Clustering
DIANA 0.104 metric=euclidean
k=223
Clustering
DBSCAN 0.055 eps=336.6483891173929
MinPts=439
Clustering
Hierarchical Clustering 0.103 method=average
k=208
Clustering
fanny NaN k=12
membexp=1.1
Clustering
clusterONE 0.01 s=17
d=0.1
Clustering
Affinity Propagation 0.081 dampfact=0.845
preference=0.0
maxits=2750
convits=350
Clustering
Markov Clustering 0.064 I=4.966466466466467 Clustering
Transitivity Clustering 0.099 T=33.81473930246155 Clustering