Function: pca()

function pca(
   data, 
   n, 
   d, 
   k?): PcaResult;

Defined in: ml/reduce.ts:44

Principal component analysis of a row-major n×d matrix, projected to k dims (default 2). Centers columns, forms the d×d covariance, then extracts the top-k eigenvectors by power iteration + deflation. Deterministic.

Parameters

Parameter	Type	Default value
data	ArrayLike<number>	undefined
n	number	undefined
d	number	undefined
k	number	2

Returns

PcaResult