Interface: PcaResult

Defined in: ml/reduce.ts:10

The result of pca: projected scores + the components they project onto.

Properties

components

components: Float64Array;

Defined in: ml/reduce.ts:14

Principal-component directions, row-major k×d (unit vectors).

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d

d: number;

Defined in: ml/reduce.ts:20

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explained

explained: Float64Array;

Defined in: ml/reduce.ts:16

Explained-variance ratio per component, length k.

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k

k: number;

Defined in: ml/reduce.ts:21

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mean

mean: Float64Array;

Defined in: ml/reduce.ts:18

Per-column mean subtracted before projection, length d.

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n

n: number;

Defined in: ml/reduce.ts:19

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scores

scores: Float64Array;

Defined in: ml/reduce.ts:12

Projected coordinates, row-major n×k.