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	0.0	k=278	Clustering
clusterdp	0.014	k=22 dc=0.8367212990826963	Clustering
AGNES	0.0	method=complete metric=euclidean k=35	Clustering
c-Means	0.0	k=213 m=5.0	Clustering
k-Medoids (PAM)	0.0	k=279	Clustering
DIANA	0.0	metric=euclidean k=66	Clustering
DBSCAN	0.0	eps=0.6530327605507296 MinPts=1	Clustering
Hierarchical Clustering	0.0	method=single k=222	Clustering
fanny	0.0	k=43 membexp=1.1	Clustering
clusterONE	1.0	s=88 d=0.03333333333333333	Clustering
Affinity Propagation	0.0	dampfact=0.845 preference=0.8469262178900278 maxits=2750 convits=500	Clustering
Markov Clustering	1.0	I=1.6612612612612614	Clustering
Transitivity Clustering	0.0	T=0.9969354598176182	Clustering