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=188
chang_pathbased 1.0 k=273
ppi_mips 1.0 k=1091
chang_spiral 1.0 k=272
astral_40_strsim 1.0 k=351
astral_40_seqsim_beh 1.0 k=830
fraenti_s3 0.999 k=217
bone_marrow_fixLabels 1.0 k=25
fu_flame 1.0 k=171
coli_state 1.0 k=183
coli_find 1.0 k=419
coli_need 1.0 k=101
coli_time 1.0 k=507
gionis_aggregation 1.0 k=519
veenman_r15 1.0 k=500
zahn_compound 1.0 k=277
synthetic_spirals 1.0 k=111
synthetic_cassini 1.0 k=85
twonorm_100d 1.0 k=198
twonorm_50d 1.0 k=195
synthetic_cuboid 1.0 k=64
astral1_161 1.0 k=210
tcga 1.0 k=90
bone_marrow 1.0 k=33
zachary 1.0 k=9