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	0.064	k=11	Clustering
clusterdp	0.0	k=19 dc=3.2666666666666666	Clustering
AGNES	0.0	method=single metric=euclidean k=33	Clustering
c-Means	0.0	k=2 m=2.25	Clustering
k-Medoids (PAM)	0.0	k=20	Clustering
DIANA	0.0	metric=euclidean k=13	Clustering
DBSCAN	0.0	eps=6.3 MinPts=10	Clustering
Hierarchical Clustering	0.0	method=single k=4	Clustering
fanny	0.0	k=26 membexp=2.0	Clustering
clusterONE	0.0	s=4 d=0.6333333333333333	Clustering
Affinity Propagation	0.0	dampfact=0.9175 preference=1.75 maxits=2750 convits=425	Clustering
Markov Clustering	0.0	I=5.884084084084085	Clustering
Transitivity Clustering	0.0	T=6.985985985985986	Clustering