Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » DIANA » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 metric=euclidean
k=25
chang_pathbased 0.716 metric=euclidean
k=5
ppi_mips 0.569 metric=euclidean
k=978
chang_spiral 0.576 metric=euclidean
k=1
astral_40_strsim 0.408 metric=euclidean
k=470
astral_40_seqsim_beh 0.454 metric=euclidean
k=470
fraenti_s3 0.643 metric=euclidean
k=16
bone_marrow_fixLabels 0.852 metric=euclidean
k=20
fu_flame 0.759 metric=euclidean
k=2
coli_state 0.625 metric=euclidean
k=2
coli_find 0.356 metric=euclidean
k=3
coli_need 0.622 metric=euclidean
k=27
coli_time 0.513 metric=euclidean
k=1
gionis_aggregation 0.839 metric=euclidean
k=3
veenman_r15 0.96 metric=euclidean
k=13
zahn_compound 0.833 metric=euclidean
k=8
synthetic_spirals 0.706 metric=euclidean
k=1
synthetic_cassini 0.8 metric=euclidean
k=2
twonorm_100d 0.904 metric=euclidean
k=2
twonorm_50d 0.941 metric=euclidean
k=1
synthetic_cuboid 0.847 metric=euclidean
k=3
astral1_161 0.469 metric=euclidean
k=91
tcga 0.921 metric=euclidean
k=6
bone_marrow 0.82 metric=euclidean
k=4
zachary 0.775 metric=euclidean
k=16