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=208
m=5.0
chang_pathbased 1.0 k=78
m=1.01
ppi_mips 1.0 k=715
m=2.25
chang_spiral 1.0 k=158
m=3.5
astral_40_strsim 1.0 k=1049
m=3.5
astral_40_seqsim_beh 1.0 k=424
m=2.25
fraenti_s3 1.0 k=45
m=5.0
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=42
m=1.01
coli_state 1.0 k=55
m=1.01
coli_find 1.0 k=67
m=2.25
coli_need 1.0 k=26
m=1.01
coli_time 1.0 k=16
m=1.5
gionis_aggregation 1.0 k=788
m=3.5
veenman_r15 1.0 k=352
m=2.25
zahn_compound 1.0 k=92
m=1.01
synthetic_spirals 1.0 k=199
m=3.5
synthetic_cassini 1.0 k=164
m=3.5
twonorm_100d 1.0 k=112
m=1.5
twonorm_50d 1.0 k=5
m=3.5
synthetic_cuboid 1.0 k=4
m=1.5
astral1_161 1.0 k=66
m=1.01
tcga 1.0 k=169
m=1.01
bone_marrow 1.0 k=37
m=1.5
zachary 1.0 k=2
m=1.01