StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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Angelos Chatzimparmpas
e069030893
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3 years ago | |
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| example | 3 years ago | |
| .npmignore | 3 years ago | |
| LICENSE | 3 years ago | |
| README.md | 3 years ago | |
| alpha.js | 3 years ago | |
| alpha.png | 3 years ago | |
| package.json | 3 years ago | |
| viewer.js | 3 years ago | |
README.md
alpha-complex
Alpha shapes are a generalization of Delaunay triangulations. Given a parameter alpha and a point set, they compute a simplicial complex which covers the point set in simplices whose circum radii are less than 1/alpha.
To see this in action, try out the demo
Example
var alphaComplex = require('alpha-complex')
var points = []
for(var i=0; i<100; ++i) {
points.push([Math.random(), Math.random()])
}
console.log(alphaComplex(0.1, points))
Install
This module works in node.js/iojs/browserify and supports point sets in any dimension.
npm i alpha-complex
API
var cells = require('alpha-complex')(alpha, points)
Constructs the alpha complex of the given set of points.
alphais the curvature of the alpha complexpointsis a list of points encoded as arrays
Returns The alpha-complex of the point set.
License
(c) 2015 Mikola Lysenko. MIT License