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 0.457 k=126 Clustering
clusterdp 0.664 k=420
dc=107.98570533738028
Clustering
AGNES 0.714 method=weighted
metric=euclidean
k=275
Clustering
c-Means 0.524 k=194
m=1.01
Clustering
k-Medoids (PAM) 0.576 k=176 Clustering
DIANA 0.531 metric=euclidean
k=450
Clustering
DBSCAN 0.261 eps=111.84233767085814
MinPts=768
Clustering
Hierarchical Clustering 0.714 method=single
k=278
Clustering
fanny 0.48 k=253
membexp=1.1
Clustering
clusterONE 0.634 s=1
d=0.7
Clustering
Affinity Propagation 0.544 dampfact=0.9175
preference=0.0
maxits=4250
convits=350
Clustering
Markov Clustering 0.649 I=1.3138138138138138 Clustering
Transitivity Clustering 0.714 T=1.8530365566260023 Clustering
MCODE 0.463 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering