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:

Dataset	Best quality	Parameter set
brown	0.994	method=average metric=euclidean k=27
chang_pathbased	0.704	method=weighted metric=euclidean k=7
ppi_mips	0.809	method=weighted metric=euclidean k=957
chang_spiral	1.0	method=weighted metric=euclidean k=3
astral_40_strsim	0.921	method=single metric=euclidean k=237
astral_40_seqsim_beh	0.881	method=weighted metric=euclidean k=345
fraenti_s3	0.772	method=ward metric=euclidean k=11
bone_marrow_fixLabels	0.818	method=complete metric=euclidean k=3
fu_flame	0.822	method=complete metric=euclidean k=18
coli_state	0.383	method=ward metric=euclidean k=130
coli_find	0.546	method=flexible metric=euclidean k=420
coli_need	0.359	method=weighted metric=euclidean k=102
coli_time	0.397	method=average metric=euclidean k=511
gionis_aggregation	1.0	method=flexible metric=euclidean k=4
veenman_r15	0.992	method=single metric=euclidean k=8
zahn_compound	0.866	method=flexible metric=euclidean k=8
synthetic_spirals	1.0	method=complete metric=euclidean k=2
synthetic_cassini	1.0	method=ward metric=euclidean k=3
twonorm_100d	0.509	method=weighted metric=euclidean k=1
twonorm_50d	0.631	method=weighted metric=euclidean k=2
synthetic_cuboid	1.0	method=average metric=euclidean k=5
astral1_161	0.733	method=average metric=euclidean k=50
tcga	0.986	method=flexible metric=euclidean k=3
bone_marrow	0.684	method=single metric=euclidean k=2
zachary	1.0	method=complete metric=euclidean k=2