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Title: A feature representation method for biomedical scientific data based on composite text description
Author: SUN Wei
Source: Chinese Journal of Library and Information Science
Issued Date: 2009-12-30
Volume: 2, Issue:4, Pages:43-53
Keyword: Composite text description ; Scientific data ; Feature representation ; Weight algorism
Subject: 编辑出版
Corresponding Author: Sun Wei (E-mail: sunwei@mail.las.ac.cn)
English Abstract:

Feature representation is one of the key issues in data clustering. The existing feature representation of scientific data is not sufficient, which to some extent affects the result of scientific data clustering. Therefore, the paper proposes a concept of composite text description (CTD) and a CTD-based feature representation method for biomedical scientific data. The method mainly uses different feature weight algorisms to represent candidate features based on two types of data sources respectively, combines and finally strengthens the two feature sets. Experiments show that comparing with traditional methods, the feature representation method is more effective than traditional methods and can significantly improve the performance of biomedcial data clustering.

Related URLs: 查看原文
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/5353
Appears in Collections:Chinese Journal of Library and Information Science-2009_期刊论文

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Recommended Citation:
SUN Wei. A feature representation method for biomedical scientific data based on composite text description[J]. Chinese Journal of Library and Information Science,2009,2(4):43-53.
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