Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » k-Medoids (PAM) » 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 0.938 k=37
chang_pathbased 0.582 k=13
ppi_mips 0.952 k=130
chang_spiral 0.492 k=36
astral_40_strsim 0.94 k=112
astral_40_seqsim_beh 0.853 k=463
fraenti_s3 0.786 k=17
bone_marrow_fixLabels 0.849 k=4
fu_flame 0.558 k=4
coli_state 0.371 k=161
coli_find 0.546 k=414
coli_need 0.359 k=101
coli_time 0.397 k=510
gionis_aggregation 0.888 k=7
veenman_r15 0.994 k=15
zahn_compound 0.806 k=3
synthetic_spirals 0.305 k=45
synthetic_cassini 0.833 k=2
twonorm_100d 0.232 k=198
twonorm_50d 0.442 k=4
synthetic_cuboid 1.0 k=4
astral1_161 0.549 k=68
tcga 0.701 k=2
bone_marrow 0.714 k=4
zachary 0.831 k=7