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	1.0	method=complete metric=euclidean k=25
chang_pathbased	0.867	method=single metric=euclidean k=11
ppi_mips	0.984	method=average metric=euclidean k=983
chang_spiral	1.0	method=ward metric=euclidean k=3
astral_40_strsim	0.995	method=ward metric=euclidean k=294
astral_40_seqsim_beh	0.993	method=complete metric=euclidean k=319
fraenti_s3	0.96	method=ward metric=euclidean k=11
bone_marrow_fixLabels	0.923	method=complete metric=euclidean k=3
fu_flame	0.956	method=complete metric=euclidean k=18
coli_state	0.632	method=ward metric=euclidean k=130
coli_find	0.874	method=single metric=euclidean k=399
coli_need	0.614	method=weighted metric=euclidean k=102
coli_time	0.736	method=single metric=euclidean k=479
gionis_aggregation	1.0	method=flexible metric=euclidean k=4
veenman_r15	0.999	method=single metric=euclidean k=8
zahn_compound	0.98	method=complete metric=euclidean k=56
synthetic_spirals	1.0	method=complete metric=euclidean k=2
synthetic_cassini	1.0	method=flexible metric=euclidean k=3
twonorm_100d	0.803	method=complete metric=euclidean k=2
twonorm_50d	0.844	method=complete metric=euclidean k=3
synthetic_cuboid	1.0	method=flexible metric=euclidean k=1
astral1_161	0.917	method=complete metric=euclidean k=84
tcga	0.995	method=complete metric=euclidean k=4
bone_marrow	0.868	method=flexible metric=euclidean k=3
zachary	1.0	method=complete metric=euclidean k=2