Rapid and brief communication: Exploring the structure of supervised data by Discriminant Isometric Mapping

Authors:
Shifeng Weng;Changshui Zhang;Zhonglin Lin
Affiliations:
State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100084, China;State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100084, China;State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100084, China
Venue:
Pattern Recognition
Year:
2005

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Abstract

In this paper, we investigated nonlinear dimensionality reduction (NLDR) for supervised learning and introduced a novel algorithm named supervised isometric mapping (SIsomap) which was based on a combination of two well-known methods: isomap and fuzzy linear discriminant analysis (LDA).