@saehrimnir/druidjs

DruidJS — A JavaScript Library for Dimensionality Reduction.

DruidJS is a JavaScript library for dimensionality reduction.
With dimesionality reduction you can project high-dimensional data to a lower dimensionality while keeping method-specific properties of the data.
DruidJS makes it easy to project a dataset with the implemented dimensionality reduction methods.

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``
@inproceedings{cutura2020druid,
title={{DRUIDJS — A JavaScript Library for Dimensionality Reduction}},
author={Cutura, Rene and Kralj, Christoph and Sedlmair, Michael},
booktitle={2020 IEEE Visualization Conference (VIS)},
pages={111--115},
year={2020},
organization={IEEE}
}
`

- Documentation
- Demo
- Conference Talk IEEEVIS2020

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If you use npm, install with npm install @saehrimnir/druidjs, and use it with
`js
import * as druid from "@saehrimnir/druidjs";
`

Otherwise download the files here, or use for instance unpkg this way:

`html

`

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DruidJS uses internally the Matrix class for storing data. You can use it by creating a druid.Matrix object for instance with the function from, in example:
`js
import * as druid from '@saehrimnir/druidjs';

let data = [[...], [...], ...];
let matrix = druid.Matrix.from(data);
`
You can create a druid.Matrix object programmatically by:
`js
let fn = (row, col) => row == col ? 1 : 0;
let matrix = new druid.Matrix(rows, columns, fn);
`
If rows == columns, then matrix would be a identity matrix.
A shortcut for a identity matrix is:
`js
let matrix = new druid.Matrix(rows, columns, "I");
// or
let matrix = new druid.Matrix(rows, columnbs, "identity");
`
There are more shortcuts for creating matrices:
`js
let matrix = new druid.Matrix(3, 3, "zeros"); // matrix would be a 3x3 matrix with zeroes
let matrix = new druid.Matrix(3, 3, "center"); // matrix would be a 3x3 center matrix;
let number = 12;
let matrix = new druid.Matrix(3, 3, number); // matrix would b a 3x3 matrix filled with 'number'
`

If you want to use a druid.Matrix object, for instance, with d3, you can use either the to2dArray property, the iterate_rows generator function, or just use the druid.Matrix object as an iterable (works with d3 since version 6).
`js
let data = await d3.csv("data.csv");
let matrix = druid.Matrix.from(data);
d3.selectAll("datapoints").data(matrix.to2dArray)//...
d3.selectAll("datapoints").data(matrix.iterate_rows())//...
d3.selectAll("datapoints").data(matrix)//...
``

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#### Transform
Example

#### Generator
Example

#### TopoMap Example
Example
...