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 1.0 k=181
chang_pathbased 1.0 k=213
ppi_mips 1.0 k=1041
chang_spiral 1.0 k=204
astral_40_strsim 1.0 k=985
astral_40_seqsim_beh 1.0 k=988
fraenti_s3 0.999 k=217
bone_marrow_fixLabels 1.0 k=14
fu_flame 1.0 k=85
coli_state 1.0 k=170
coli_find 1.0 k=414
coli_need 1.0 k=102
coli_time 1.0 k=507
gionis_aggregation 1.0 k=757
veenman_r15 1.0 k=452
zahn_compound 1.0 k=284
synthetic_spirals 1.0 k=110
synthetic_cassini 1.0 k=35
twonorm_100d 1.0 k=195
twonorm_50d 1.0 k=196
synthetic_cuboid 1.0 k=184
astral1_161 1.0 k=463
tcga 1.0 k=95
bone_marrow 1.0 k=34
zachary 1.0 k=12