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	0.999	method=average metric=euclidean k=27
chang_pathbased	0.775	method=ward metric=euclidean k=10
ppi_mips	0.201	method=single metric=euclidean k=950
chang_spiral	1.0	method=ward metric=euclidean k=3
astral_40_strsim	0.752	method=ward metric=euclidean k=294
astral_40_seqsim_beh	0.631	method=weighted metric=euclidean k=275
fraenti_s3	0.699	method=ward metric=euclidean k=11
bone_marrow_fixLabels	0.893	method=complete metric=euclidean k=3
fu_flame	0.958	method=complete metric=euclidean k=18
coli_state	0.629	method=single metric=euclidean k=7
coli_find	0.356	method=weighted metric=euclidean k=2
coli_need	0.622	method=flexible metric=euclidean k=3
coli_time	0.513	method=single metric=euclidean k=1
gionis_aggregation	1.0	method=flexible metric=euclidean k=4
veenman_r15	0.99	method=single metric=euclidean k=8
zahn_compound	0.959	method=complete metric=euclidean k=56
synthetic_spirals	1.0	method=flexible metric=euclidean k=2
synthetic_cassini	1.0	method=flexible metric=euclidean k=3
twonorm_100d	0.803	method=weighted metric=euclidean k=1
twonorm_50d	0.845	method=weighted metric=euclidean k=2
synthetic_cuboid	1.0	method=single metric=euclidean k=5
astral1_161	0.707	method=complete metric=euclidean k=84
tcga	0.996	method=complete metric=euclidean k=4
bone_marrow	0.82	method=single metric=euclidean k=3
zachary	1.0	method=flexible metric=euclidean k=1