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

ClustEval clustering evaluation framework

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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:

Program	Best quality	Parameter set	Clustering
Spectral Clustering	0.619	k=2	Clustering
clusterdp	0.938	k=19 dc=1.1666666666666667	Clustering
AGNES	1.0	method=complete metric=euclidean k=1	Clustering
c-Means	1.0	k=2 m=3.5	Clustering
k-Medoids (PAM)	0.883	k=3	Clustering
DIANA	1.0	metric=euclidean k=17	Clustering
DBSCAN	1.0	eps=0.0 MinPts=3	Clustering
Hierarchical Clustering	1.0	method=average k=2	Clustering
fanny	1.0	k=4 membexp=1.1	Clustering
clusterONE	1.0	s=15 d=0.9333333333333333	Clustering
Affinity Propagation	0.374	dampfact=0.7725 preference=1.75 maxits=4250 convits=275	Clustering
Markov Clustering	1.0	I=1.108908908908909	Clustering
Transitivity Clustering	1.0	T=0.11211211211211211	Clustering