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 0.796 metric=euclidean
k=31
chang_pathbased 0.515 metric=euclidean
k=9
ppi_mips 0.028 metric=euclidean
k=1018
chang_spiral 0.458 metric=euclidean
k=51
astral_40_strsim 0.128 metric=euclidean
k=501
astral_40_seqsim_beh 0.104 metric=euclidean
k=516
fraenti_s3 0.429 metric=euclidean
k=7
bone_marrow_fixLabels 0.15 metric=euclidean
k=20
fu_flame 0.434 metric=euclidean
k=5
coli_state 0.782 metric=euclidean
k=2
coli_find 0.769 metric=euclidean
k=3
coli_need 0.78 metric=euclidean
k=2
coli_time 0.841 metric=euclidean
k=4
gionis_aggregation 0.522 metric=euclidean
k=52
veenman_r15 0.703 metric=euclidean
k=23
zahn_compound 0.638 metric=euclidean
k=2
synthetic_spirals 0.354 metric=euclidean
k=86
synthetic_cassini 0.508 metric=euclidean
k=2
twonorm_100d 0.038 metric=euclidean
k=47
twonorm_50d 0.075 metric=euclidean
k=13
synthetic_cuboid 0.534 metric=euclidean
k=4
astral1_161 0.104 metric=euclidean
k=223
tcga 0.184 metric=euclidean
k=2
bone_marrow 0.312 metric=euclidean
k=7
zachary 0.214 metric=euclidean
k=22