Multi-kernel clustering-based outlier detection

Jiawei Cui

doi:10.1016/j.ijar.2026.109800

Multi-kernel clustering-based outlier detection

2026-08-16

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DOI：10.1016/j.ijar.2026.109800

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Abstract

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• Adaptive multi-kernel clustering is integrated into a clustering-based outlier detection framework to mitigate the influence of outliers on clustering structures. • Relative sample deviation and cluster rarity factor are defined to characterize different outlier properties. • A unified outlier scoring mechanism is constructed to jointly detect point outliers and clustered outliers.

Keywords:

Outlier detection

Multi-kernel learning

Clustering

Anomaly detection

K-means

Multi-kernel clustering-based outlier detection

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