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=0.7	Clustering
AGNES	0.0	method=ward metric=euclidean k=25	Clustering
c-Means	0.0	k=25 m=1.5	Clustering
k-Medoids (PAM)	0.0	k=24	Clustering
DIANA	0.0	metric=euclidean k=9	Clustering
DBSCAN	0.0	eps=7.0 MinPts=6	Clustering
Hierarchical Clustering	0.0	method=complete k=18	Clustering
fanny	0.0	k=26 membexp=2.0	Clustering
clusterONE	0.0	s=2 d=0.36666666666666664	Clustering
Affinity Propagation	0.0	dampfact=0.7725 preference=1.75 maxits=2000 convits=500	Clustering
Markov Clustering	0.0	I=7.22932932932933	Clustering
Transitivity Clustering	0.0	T=4.05005005005005	Clustering