关键词: 机器学习, 数据挖掘, 文本处理, 分类

Abstract: In order to eliminate relativity between ensembled classifiers and improve effect and stability of combiner，an approach extracting classifiers based on Fisher linear discriminant analysis is proposed.It can reduce classifier space with high dimension，and then learn a combiner in lower dimension space.The compared results obtained on multiple public avaiable datasets show that the method is feasible.Its performance is perfect.

Key words: machine learning, data mining, text processing, classification