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.
@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}
}
If you use npm, install with npm install @saehrimnir/druidjs, and use it with
import * as druid from "@saehrimnir/druidjs";Otherwise download the files here, or use for instance unpkg this way:
<script src="https://unpkg.com/@saehrimnir/druidjs"></script>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:
import * as druid from '@saehrimnir/druidjs';
let data = [[...], [...], ...];
let matrix = druid.Matrix.from(data);You can create a druid.Matrix object programmatically by:
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:
let matrix = new druid.Matrix(rows, columns, "I");
// or
let matrix = new druid.Matrix(rows, columnbs, "identity");There are more shortcuts for creating matrices:
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).
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)//...Example ...