Locality discriminating indexing for document classification

Authors:
Jiani Hu;Weihong Deng;Jun Guo;Weiran Xu
Affiliations:
Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China
Venue:
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2007

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Abstract

This paper introduces a locality discriminating indexing (LDI) algorithm for document classification. Based on the hypothesis that samples from different classes reside in class-specific manifold structures, LDI seeks for a projection which best preserves the within-class local structures while suppresses the between-class overlap. Comparative experiments show that the proposed method isable to derives compact discriminating document representations for classification.