摘要
对ISOMap、LDA、LLE、PCA这4种典型降维算法的主要思想和算法步骤进行了详细分析,并将它们用于有监督分类。从实验结果分析得到结论 ,其可为有监督分类提供有益的借鉴。
In this paper we analyze the main ideas and algorithm steps of four typical dimensionality reduction algorithms, i.e., ISOMap, LDA, LLE and PCA. Then these four algorithms are applied to supervised classification. The experimental conclusions provide a useful reference for supervised classification.
出处
《微型机与应用》
2014年第22期1-3,7,共4页
Microcomputer & Its Applications
关键词
维数约简
监督分类
样本外点问题
dimensionality reduction
supervised classification
out-of-sample
