Document categorization and retrieval using semantic microfeatures and growing cell structures

被引：5

作者：

Deng, WT ^{[1
]}

Wu, W ^{[1
]}

机构：

[1] Middlesex Univ, Sch Comp Sci, London N11 2NQ, England

来源：

12TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/DEXA.2001.953074

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This, paper presents a new approach to document categorization and retrieval using Growing Cell Structures. Semantic microfeatures together with other information are adopted for document representation. The main advantage over traditional information retrieval systems which adopt index terms to index and retrieve documents is that the new approach considers the semantic relationships among documents. This paper describes how to, construct Document Microfeature Weight Vectors and use Growing Cell Structures clustering them. Some experimental results, are also, presented by this paper.

引用

页码：270 / 274

页数：3

共 7 条

[1]

BAEZAYATES RA, 1999, MODERN INFORMATION R

[2] GROWING CELL STRUCTURES - A SELF-ORGANIZING NETWORK FOR UNSUPERVISED AND SUPERVISED LEARNING [J].