Class DimRed<P>Abstract

constructor

• new DimRed<P>(data, params?): DimRed<P>

• Constructs a new instance of the DimRed class.

  Type Parameters

  • P extends DimRedParams

  Parameters

  • data: Matrix | number[][]

    The matrix of data to perform dimensionality reduction on.

  • Optional params: Partial<P>

    Optional parameters for the algorithm.

  Returns DimRed<P>

_data

_projection

_result

dimensionality

• get dimensionality(): number

• Gets the dimensionality of the data after dimensionality reduction.

  Returns number

metric

• get metric(): string

• Gets the metric used for calculating distances between data points.

  Returns string

parameters

• get parameters(): Omit<P & DimRedParams, "dimensionality" | "metric" | "seed">

• Gets the parameters used for the algorithm.

  Returns Omit<P & DimRedParams, "dimensionality" | "metric" | "seed">

seed

• get seed(): number

• Gets the seed used for generating random numbers.

  Returns number

generator

• generator(iterations?): Generator<Matrix, Matrix, unknown>

• A generator function that yields the projection of the data after each iteration.

  Parameters

  • iterations: number = 500

    The number of iterations to perform. Default to 500.

  Returns Generator<Matrix, Matrix, unknown>

  The projection of the data after dimensionality reduction.

  Yields

  The projection of the data after each iteration.

Abstract init

• init(): DimRed<P>

• Initializes the needed stuff for the algorithm.

  Returns DimRed<P>

  The instance of the class.

transform

• transform(iterations?): Matrix

• Transforms the data by performing dimensionality reduction on it.

  Parameters

  • iterations: number = 500

    The number of iterations to perform. Default to 500.

  Returns Matrix

  The projection of the data after dimensionality reduction.