Distance metric learning by knowledge embedding

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摘要

This paper presents an algorithm which learns a distance metric from a data set by knowledge embedding and uses the new distance metric to solve nonlinear pattern recognition problems such a clustering.

论文关键词:Distance metric learning,Knowledge embedding,Clustering

论文评审过程:Available online 5 November 2003.

论文官网地址:https://doi.org/10.1016/S0031-3203(03)00218-8