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pca()
Description:
Perform PCA on a matrix and return data for dimensionality reduction
Syntax:
pca(A,n) Perform PCA (Principal Component Analysis) on matrix A and return data for dimensionality reduction; n is the number of principal components
pca(A,F) Reduce dimensionality for another matrix having same number of columns
Parameters:
|
A |
A matrix |
|
n |
Number of principal components |
|
F |
The PCA fiiting object returned by pca(A,n) |
Options:
|
@r |
Enable returning the result of demenionality reduction on matrix A, which is a matrix of n columns, directly |
Return value:
A PCA fitting object or a sequence
Example:
|
|
A |
|
|
1 |
[[1,2,3,4],[2,3,1,2],[1,1,1,-1],[1,0,-2,-6]] |
|
|
2 |
=pca(A1,2) |
|
|
3 |
=pca@r(A1,2) |
|
|
4 |
[[4,6,2,4],[2,3,1,2],[1,1,1,-1]] |
|
|
5 |
=pca(A4,A2) |
|
