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Spectral Clustering research benchmarks – Page 2 · SOTA2 Research

Spectral Clustering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

BREAST CuMiDa 70947

Gaussian Symmetrized Row-Stochastic (Prs)

0.3ARI

5

Feb 26, 2026

LIVER CuMiDa 14520

Symmetric Entropic Affinity (Pse)

85.9ARI

5

Feb 26, 2026

Spectral Clustering via the Power Method

43.07NMI

3

Jun 5, 2026

Spectral Clustering via the Power Method

24.49NMI

3

Jun 5, 2026

Exact Spectral Clustering

0.701NMI

3

Jun 5, 2026

SatImage libSVM

Spectral Clustering via the Power Method

60.07NMI

3

Jun 5, 2026

25.05Time Cost (s)

3

Feb 26, 2026

CA-CondMat (full)

Spectral Clustering

0.781Metric [14]

1

Feb 26, 2026

Athletes (full)

Spectral Clustering

0.695Result [14]

1

Feb 26, 2026

Spectral Clustering

0.837Result Index 14

1

Feb 26, 2026

Spectral Clustering

95.67Result [14]

1

Feb 26, 2026

Air Quality (full)

Spectral Clustering

0.623Result [14]

1

Feb 26, 2026

Fashion MNIST (sample)

Spectral Clustering

0.561Result [14]

1

Feb 26, 2026

Spectral Clustering

0.44Value [14]

1

Feb 26, 2026

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