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	1.0	k=104	Clustering
clusterdp	0.452	k=5 dc=0.9953466054055485	Clustering
AGNES	1.0	method=average metric=euclidean k=102	Clustering
c-Means	1.0	k=89 m=3.5	Clustering
k-Medoids (PAM)	1.0	k=103	Clustering
DIANA	1.0	metric=euclidean k=101	Clustering
DBSCAN	0.0	eps=0.946485962163805 MinPts=35	Clustering
Hierarchical Clustering	1.0	method=single k=102	Clustering
fanny	1.0	k=49 membexp=1.1	Clustering
clusterONE	0.0	s=87 d=0.7	Clustering
Affinity Propagation	1.0	dampfact=0.9175 preference=1.0000000000000002 maxits=5000 convits=500	Clustering
Markov Clustering	0.0	I=9.946546546546546	Clustering
Transitivity Clustering	1.0	T=0.9996506460514678	Clustering