StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics https://doi.org/10.1109/TVCG.2020.3030352
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
StackGenVis/frontend/node_modules/delaunay-triangulate/README.md

49 lines
1.5 KiB

delaunay-triangulate
====================
Triangulates a set of points into a [Delaunay triangulation](http://en.wikipedia.org/wiki/Delaunay_triangulation). This code works in arbitrary dimensions, and both in the server and in the browser.
<img src="delaunay3d.png">
[![testling badge](https://ci.testling.com/mikolalysenko/delaunay-triangulate.png)](https://ci.testling.com/mikolalysenko/delaunay-triangulate)
[![build status](https://secure.travis-ci.org/mikolalysenko/delaunay-triangulate.png)](http://travis-ci.org/mikolalysenko/delaunay-triangulate)
Here are some in browser demos:
* [2D Delaunay triangulation](http://mikolalysenko.github.io/delaunay-triangulate/2d.html)
* [3D Delaunay triangulation](http://mikolalysenko.github.io/delaunay-triangulate/3d.html)
# Example
```javascript
var triangulate = require("delaunay-triangulate")
var points = [
[0, 1],
[1, 0],
[1, 1],
[0, 0],
[0.5, 0.5]
]
var triangles = triangulate(points)
console.log(triangles)
```
# Install
npm install delaunay-triangulate
# API
#### `require("delaunay-triangulate")(points[,pointAtInfinity])`
Constructs a Delaunay triangulation over `points`
* `points` is a collection of points in Euclidean space.
* `pointAtInfinity` is a flag, which if set adds an extra point at infinity to give the spherical compactification of the triangulation. The index of the point at infinity is `-1`
**Returns** A list of cells representing the faces of the triangulation. These are triangles in 2D or tetrahedra in 3D.
# Credits
(c) 2013-2014 Mikola Lysenko. MIT License