文件名称:principle-component-analysis--matlab
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利用Matlab编程实现主成分分析，
Cwstd.m——用总和标准化法标准化矩阵
Cwfac.m——计算相关系数矩阵；计算特征值和特征向量；对主成分进行排序；计算各特征值贡献率；挑选主成分（累计贡献率大于85 ），输出主成分个数；计算主成分载荷
Cwscore.m——计算各主成分得分、综合得分并排序
Cwprint.m——读入数据文件；调用以上三个函数并输出结果
-The use of principal component analysis Matlab programming, Cwstd.m standardization by the sum of the standardized method to calculate the correlation coefficient matrix Cwfac.m matrix computing eigenvalues and eigenvectors sort of the main components calculate the eigenvalues of the contribution rate selection Principal component (cumulative contribution rate is greater than 85 ), the number of output main component calculating the principal component load Cwscore.m calculate the principal component scores, total score and sort Cwprint.m reads data files calls for more than three function and outputs the result
Cwstd.m——用总和标准化法标准化矩阵
Cwfac.m——计算相关系数矩阵；计算特征值和特征向量；对主成分进行排序；计算各特征值贡献率；挑选主成分（累计贡献率大于85 ），输出主成分个数；计算主成分载荷
Cwscore.m——计算各主成分得分、综合得分并排序
Cwprint.m——读入数据文件；调用以上三个函数并输出结果
-The use of principal component analysis Matlab programming, Cwstd.m standardization by the sum of the standardized method to calculate the correlation coefficient matrix Cwfac.m matrix computing eigenvalues and eigenvectors sort of the main components calculate the eigenvalues of the contribution rate selection Principal component (cumulative contribution rate is greater than 85 ), the number of output main component calculating the principal component load Cwscore.m calculate the principal component scores, total score and sort Cwprint.m reads data files calls for more than three function and outputs the result
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下载文件列表
主成分分析实例演示源代码加文档描述\cwfac.m
..................................\cwprint.m
..................................\cwscore.m
..................................\cwstd.m
..................................\主成分分析法matlab实现---实例演示.DOC
主成分分析实例演示源代码加文档描述