Classification Recouvrante Basée sur les Méthodes à Noyau

Chiheb-Eddine Ben N'Cir; Nadia Essoussi

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arXiv · 1211.6851

Classification Recouvrante Basée sur les Méthodes à Noyau

Chiheb-Eddine Ben N'Cir·Nadia Essoussi

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Abstract

Overlapping clustering problem is an important learning issue in which clusters are not mutually exclusive and each object may belongs simultaneously to several clusters. This paper presents a kernel based method that produces overlapping clusters on a high feature space using mercer kernel techniques to improve separability of input patterns. The proposed method, called OKM-K(Overlapping $k$-means based kernel method), extends OKM (Overlapping $k$-means) method to produce overlapping schemes. Experiments are performed on overlapping dataset and empirical results obtained with OKM-K outperform results obtained with OKM.

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BibTeX RIS

Chiheb-Eddine Ben N'Cir, Nadia Essoussi. 2012-11-29. Classification Recouvrante Basée sur les Méthodes à Noyau. https://arxiv.org/abs/1211.6851

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