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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
1.0
k=218
chang_pathbased
1.0
k=8
ppi_mips
1.0
k=1094
chang_spiral
1.0
k=10
astral_40_strsim
1.0
k=1046
astral_40_seqsim_beh
1.0
k=1044
fraenti_s3
0.999
k=287
bone_marrow_fixLabels
0.998
k=11
fu_flame
0.998
k=34
coli_state
1.0
k=189
coli_find
1.0
k=419
coli_need
1.0
k=103
coli_time
1.0
k=508
gionis_aggregation
1.0
k=118
veenman_r15
1.0
k=100
zahn_compound
0.999
k=24
synthetic_spirals
1.0
k=6
synthetic_cassini
1.0
k=18
twonorm_100d
0.995
k=110
twonorm_50d
0.996
k=59
synthetic_cuboid
0.996
k=25
astral1_161
1.0
k=507
tcga
1.0
k=291
bone_marrow
0.577
k=33
zachary
0.997
k=28