Multiple Closed-Form Local Metric Learning for K-Nearest Neighbor Classifier

Jianbo Ye

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arXiv · 1311.3157

Multiple Closed-Form Local Metric Learning for K-Nearest Neighbor Classifier

Jianbo Ye

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Abstract

Many researches have been devoted to learn a Mahalanobis distance metric, which can effectively improve the performance of kNN classification. Most approaches are iterative and computational expensive and linear rigidity still critically limits metric learning algorithm to perform better. We proposed a computational economical framework to learn multiple metrics in closed-form.

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Jianbo Ye. 2013-11-12. Multiple Closed-Form Local Metric Learning for K-Nearest Neighbor Classifier. https://arxiv.org/abs/1311.3157

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