Matlabcodes-RobustPCA
所属分类:数学计算
开发工具:matlab
文件大小:1KB
下载次数:84
上传日期:2009-11-11 08:07:04
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说明: Matlab codes for Robust PCA multivariate control chart
(Robust PCA multivariate control chart mainly consists two steps:
Step1
Calculates the robust mean and the robust
covariance of original dataset using the
minimum covariance determinant (MCD).
In MCD technique, finding a subset
containing half of the data such that its
covariance matrix has the lowest determinant, then using this subset to
calculate the robust mean and the robust
covariance matrix (Hubert, Rousseeuw, &
Branden, 2005)
Step2
Standardize data using robust mean and
robust standard deviation from Step1.
Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and
A is p*p matrix of eigenvectors (also called principalcomponents))
文件列表:
Matlab codes for RobustPCA.txt (1385, 2009-11-11)
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