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	0.0	k=506	Clustering
clusterdp	0.066	k=22 dc=174.128477129686	Clustering
AGNES	0.0	method=flexible metric=euclidean k=155	Clustering
c-Means	0.0	k=19 m=5.0	Clustering
k-Medoids (PAM)	0.0	k=253	Clustering
DIANA	0.0	metric=euclidean k=439	Clustering
DBSCAN	0.0	eps=69.6513908518744 MinPts=439	Clustering
Hierarchical Clustering	0.0	method=complete k=287	Clustering
fanny	0.0	k=190 membexp=1.1	Clustering
clusterONE	0.843	s=1 d=0.7333333333333333	Clustering
Affinity Propagation	0.0	dampfact=0.99 preference=348.256954259372 maxits=2750 convits=425	Clustering
Markov Clustering	0.036	I=9.946546546546546	Clustering
Transitivity Clustering	0.0	T=15.687250191863601	Clustering