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	0.691	k=2	Clustering
clusterdp	0.97	k=3 dc=3.966666666666667	Clustering
AGNES	1.0	method=complete metric=euclidean k=2	Clustering
c-Means	1.0	k=2 m=2.25	Clustering
k-Medoids (PAM)	0.94	k=3	Clustering
DIANA	0.834	metric=euclidean k=17	Clustering
DBSCAN	0.834	eps=6.766666666666667 MinPts=14	Clustering
Hierarchical Clustering	1.0	method=average k=2	Clustering
fanny	1.0	k=2 membexp=2.0	Clustering
clusterONE	0.847	s=10 d=1.0	Clustering
Affinity Propagation	0.612	dampfact=0.99 preference=1.75 maxits=5000 convits=350	Clustering
Markov Clustering	1.0	I=1.50980980980981	Clustering
Transitivity Clustering	1.0	T=0.11211211211211211	Clustering