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Clustering on adult

Clustering on adult

0.0066AUC LossIcml17

Updated 5mo ago

Evaluation results

Method	Links
Icml172026.05		0.0066	—
PE-means2026.05		0.0056	14.57

State-of-the-art paper

Icml17

PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution

Dataset

Adult

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Related benchmarks

Clustering on sklearn synthetic variants Clustering on g2 synthetic variants Clustering on birch2 Clustering on scale synthetic variants Clustering on letter (AUC of clustering loss, PE Improv.)

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