Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » Hierarchical Clustering » 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 method=average
k=193
chang_pathbased 1.0 method=complete
k=154
ppi_mips 1.0 method=complete
k=1047
chang_spiral 1.0 method=complete
k=28
astral_40_strsim 1.0 method=complete
k=691
astral_40_seqsim_beh 1.0 method=single
k=1028
fraenti_s3 1.0 method=single
k=4954
bone_marrow_fixLabels 1.0 method=single
k=5
fu_flame 1.0 method=complete
k=206
coli_state 1.0 method=single
k=186
coli_find 1.0 method=average
k=418
coli_need 1.0 method=single
k=104
coli_time 1.0 method=complete
k=511
gionis_aggregation 1.0 method=single
k=267
veenman_r15 1.0 method=average
k=545
zahn_compound 1.0 method=average
k=226
synthetic_spirals 1.0 method=single
k=218
synthetic_cassini 1.0 method=complete
k=193
twonorm_100d 1.0 method=complete
k=197
twonorm_50d 1.0 method=single
k=199
synthetic_cuboid 1.0 method=complete
k=249
astral1_161 1.0 method=average
k=213
tcga 1.0 method=single
k=125
bone_marrow 1.0 method=average
k=35
zachary 1.0 method=single
k=33