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clustering evaluation framework
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Spectral Clustering
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Best Parameters
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General
Best Qualities
Best Parameters
Hints:
Which parameter sets lead to the optimal clustering quality?
Please choose a clustering quality measure:
Davies Bouldin Index (R)
Dunn Index (R)
F1-Score
F2-Score
False Discovery Rate
False Positive Rate
Fowlkes Mallows Index (R)
Jaccard Index (R)
Rand Index
Rand Index (R)
Sensitivity
Silhouette Value (R)
Specificity
V-Measure
Dataset
Best quality
Parameter set
brown
2.117
k=4
chang_pathbased
3.635
k=7
ppi_mips
2.022
k=2
chang_spiral
1.762
k=3
astral_40_strsim
1.993
k=3
astral_40_seqsim_beh
2.001
k=7
fraenti_s3
3.224
k=17
bone_marrow_fixLabels
2.687
k=2
fu_flame
3.404
k=6
coli_state
1.609
k=4
coli_find
1.938
k=2
coli_need
1.565
k=4
coli_time
2.359
k=2
gionis_aggregation
3.598
k=5
veenman_r15
2.912
k=17
zahn_compound
5.204
k=6
synthetic_spirals
3.015
k=5
synthetic_cassini
3.893
k=11
twonorm_100d
2.068
k=4
twonorm_50d
2.135
k=2
synthetic_cuboid
3.003
k=14
astral1_161
2.01
k=10
tcga
1.976
k=5
bone_marrow
2.285
k=26
zachary
1.812
k=2