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	0.729	k=31	Clustering
clusterdp	0.321	k=24 dc=6.066666666666666	Clustering
AGNES	0.0	method=single metric=euclidean k=33	Clustering
c-Means	0.0	k=33 m=1.01	Clustering
k-Medoids (PAM)	0.0	k=32	Clustering
DIANA	0.0	metric=euclidean k=31	Clustering
DBSCAN	0.637	eps=6.066666666666666 MinPts=6	Clustering
Hierarchical Clustering	0.0	method=single k=33	Clustering
fanny	0.475	k=6 membexp=5.0	Clustering
clusterONE	0.837	s=4 d=0.2	Clustering
Affinity Propagation	0.27	dampfact=0.7725 preference=7.0 maxits=2000 convits=350	Clustering
Markov Clustering	0.708	I=3.576676676676677	Clustering
Transitivity Clustering	0.0	T=6.8108108108108105	Clustering