A feature representation method for biomedical scientific data based on composite text description

• 作者: SUN Wei
• 来源期刊: 中国文献情报：英文版
• 学科: 社会科学
• 关键词: COMPOSITE TEXT DESCRIPTION SCIENTIFIC data FEATURE
• 年，卷（期）: 2009,（4）
• 页码范围: 43-53
• 页数: 11页
• 分类号: G203

摘要

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.