Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » c-Means » 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=43
m=1.01
chang_pathbased 1.0 k=257
m=1.5
ppi_mips 1.0 k=946
m=1.5
chang_spiral 1.0 k=70
m=2.25
astral_40_strsim 1.0 k=146
m=5.0
astral_40_seqsim_beh 1.0 k=572
m=3.5
fraenti_s3 1.0 k=3586
m=1.01
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=220
m=2.25
coli_state 1.0 k=19
m=1.5
coli_find 1.0 k=420
m=5.0
coli_need 1.0 k=5
m=1.01
coli_time 1.0 k=156
m=1.01
gionis_aggregation 1.0 k=93
m=3.5
veenman_r15 1.0 k=491
m=3.5
zahn_compound 1.0 k=83
m=1.5
synthetic_spirals 1.0 k=114
m=5.0
synthetic_cassini 1.0 k=227
m=5.0
twonorm_100d 1.0 k=32
m=2.25
twonorm_50d 1.0 k=46
m=2.25
synthetic_cuboid 1.0 k=132
m=3.5
astral1_161 1.0 k=109
m=1.5
tcga 1.0 k=60
m=1.01
bone_marrow 1.0 k=19
m=1.5
zachary 1.0 k=23
m=1.01