SHOGUN v0.9.0
组合类型 | 宏定义
PCACut.h文件参考

浏览该文件的源代码。

组合类型

class  CPCACut

宏定义

#define IGNORE_IN_CLASSLIST
 Preprocessor PCACut performs principial component analysis on the input vectors and keeps only the n eigenvectors with eigenvalues above a certain threshold.

宏定义文档

#define IGNORE_IN_CLASSLIST

Preprocessor PCACut performs principial component analysis on the input vectors and keeps only the n eigenvectors with eigenvalues above a certain threshold.

On preprocessing the stored covariance matrix is used to project vectors into eigenspace only returning vectors of reduced dimension n. Optional whitening is performed.

This is only useful if the dimensionality of the data is rather low, as the covariance matrix is of size num_feat*num_feat. Note that vectors don't have to have zero mean as it is substracted.

在文件PCACut.h39行定义。


SHOGUN Machine Learning Toolbox - Documentation