ClustEval | Which parameter sets lead to the optimal clustering quality?

ClustEval clustering evaluation framework

Navigation:

027

Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:

Program	Best quality	Parameter set	Clustering
Spectral Clustering	0.067	k=278	Clustering
clusterdp	0.017	k=18 dc=0.959180324770674	Clustering
AGNES	0.0	method=single metric=euclidean k=147	Clustering
c-Means	0.0	k=169 m=5.0	Clustering
k-Medoids (PAM)	0.0	k=38	Clustering
DIANA	0.0	metric=euclidean k=258	Clustering
DBSCAN	0.0	eps=0.6938524357800555 MinPts=273	Clustering
Hierarchical Clustering	0.0	method=average k=194	Clustering
fanny	0.0	k=34 membexp=2.0	Clustering
clusterONE	0.446	s=254 d=0.9666666666666667	Clustering
Affinity Propagation	0.0	dampfact=0.99 preference=0.6938524357800555 maxits=5000 convits=200	Clustering
Markov Clustering	0.446	I=9.224924924924926	Clustering
Transitivity Clustering	0.0	T=0.8130630488747086	Clustering