Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » Spectral 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 0.451 k=14
chang_pathbased 0.693 k=8
ppi_mips 0.407 k=101
chang_spiral 0.854 k=3
astral_40_strsim 0.019 k=179
astral_40_seqsim_beh 0.074 k=340
fraenti_s3 0.578 k=42
bone_marrow_fixLabels 0.894 k=2
fu_flame 0.659 k=4
coli_state 0.362 k=4
coli_find 0.119 k=4
coli_need 0.301 k=4
coli_time 0.264 k=2
gionis_aggregation 0.899 k=8
veenman_r15 0.869 k=25
zahn_compound 0.545 k=20
synthetic_spirals 0.499 k=2
synthetic_cassini 1.0 k=18
twonorm_100d 0.872 k=4
twonorm_50d 0.889 k=2
synthetic_cuboid 0.441 k=14
astral1_161 0.517 k=3
tcga 0.355 k=5
bone_marrow 0.485 k=26
zachary 0.37 k=2