Methods

static ca(vectors, dimensionsopt) → {Promise.<Array>}

voyantjs/src/analysis.js, line 31

Performs Correspondence Analysis on the provided vectors.

Parameters:

Name	Type	Attributes	Default	Description
vectors	Array			A 2 dimensional array of numbers.
dimensions	Number	<optional>	2	The number of dimensions to reduce to. Default is 2.

Returns:

Promise.<Array>

Example

Spyral.Analysis.ca([[2,3,5],[1,3,4],[3,2,1],[6,5,6],[2,4,1]]);

static pca(vectors, dimensionsopt) → {Promise.<Array>}

voyantjs/src/analysis.js, line 20

Performs Principal Components Analysis on the provided vectors.

Parameters:

Name	Type	Attributes	Default	Description
vectors	Array			A 2 dimensional array of numbers.
dimensions	Number	<optional>	2	The number of dimensions to reduce to. Default is 2.

Returns:

Promise.<Array>

Example

Spyral.Analysis.pca([[2,3,5],[1,3,4],[3,2,1],[6,5,6],[2,4,1]]);

static tsne(vectors, dimensionsopt, perplexityopt, iterationsopt) → {Promise.<Array>}

voyantjs/src/analysis.js, line 44

Perform TSNE Analysis on the provided vectors.

Parameters:

Name	Type	Attributes	Default	Description
vectors	Array			A 2 dimensional array of numbers.
dimensions	Number	<optional>	2	The number of dimensions to reduce to. Default is 2.
perplexity	Number	<optional>	15	The perplexity measure. Default is 15.
iterations	Number	<optional>	1500	The number of times to iterate. Default is 1500.

Returns:

Promise.<Array>

Example

Spyral.Analysis.tsne([[2,3,5],[1,3,4],[3,2,1],[6,5,6],[2,4,1]]);