| 基于分片逆回归方法的线性与非线性判别分析的应用比较 |
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| 引用本文： | 胡煜. 基于分片逆回归方法的线性与非线性判别分析的应用比较[J]. 广东技术师范学院学报, 2010, 0(9) |
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| 作者姓名： | 胡煜 |
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| 作者单位： | 广东工贸职业技术学院; |
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| 摘 要： | 所统计分析的数据集是前列腺癌基因数据集.采用分片逆回归方法和线性判别分析(LDA),二次判别分析(QDA).对基因芯片(微阵列)数据进行分析.用SIR降维,用LDA和QDA分类.讨论分片逆回归方法和二种方法对基因样本进行分类的效果.
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| 关 键 词： | 线性判别分析(LDA) 二次判别分析(QDA) 分片逆回归方法 |
Applied Comparison of Linear Discriminant Analysis and Non-Linear Discriminant Analysis Based on Sliced Inverse Regression Method |
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| HU Yu. Applied Comparison of Linear Discriminant Analysis and Non-Linear Discriminant Analysis Based on Sliced Inverse Regression Method[J]. Journal of Guangdong Polytechnic Normal University, 2010, 0(9) |
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| Authors: | HU Yu |
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| Affiliation: | HU Yu(Guangdong Vocational College of Industry & Commerce,Guangzhou 510510,China) |
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| Abstract: | In this paper,the statistic analysis data is from the prostate gene expression data set.By means of the sliced inverse regression method and linear discriminant analysis,quadratic discriminant analysis,the data analysis on gene chip has been done.The efficiency of various methods are categorized to the gene samples by using the dimensionality reduction of sliced inverse regression,the classification of LDA and QDA. |
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| Keywords: | linear discriminant analysis quadratic discriminant analysis sliced inverse regression |
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