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 0.953 k=11
chang_pathbased 0.66 k=3
ppi_mips 0.833 k=130
chang_spiral 0.406 k=13
astral_40_strsim 0.824 k=112
astral_40_seqsim_beh 0.46 k=463
fraenti_s3 0.727 k=17
bone_marrow_fixLabels 0.896 k=5
fu_flame 0.753 k=2
coli_state 0.466 k=5
coli_find 0.267 k=2
coli_need 0.605 k=3
coli_time 0.452 k=2
gionis_aggregation 0.838 k=4
veenman_r15 0.993 k=15
zahn_compound 0.83 k=3
synthetic_spirals 0.496 k=2
synthetic_cassini 0.912 k=2
twonorm_100d 0.547 k=3
twonorm_50d 0.76 k=4
synthetic_cuboid 1.0 k=4
astral1_161 0.509 k=6
tcga 0.909 k=2
bone_marrow 0.839 k=4
zachary 0.892 k=7