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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41 lines
1.1 KiB
41 lines
1.1 KiB
alpha-complex
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=============
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[Alpha shapes](http://en.wikipedia.org/wiki/Alpha_shape) 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`.
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[To see this in action, try out the demo](https://mikolalysenko.github.io/alpha-complex/index.html)
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<img src="alpha.png"></img>
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# Example
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```javascript
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var alphaComplex = require('alpha-complex')
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var points = []
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for(var i=0; i<100; ++i) {
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points.push([Math.random(), Math.random()])
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}
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console.log(alphaComplex(0.1, points))
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```
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# Install
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This module works in node.js/iojs/browserify and supports point sets in any dimension.
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```
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npm i alpha-complex
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```
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# API
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#### `var cells = require('alpha-complex')(alpha, points)`
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Constructs the alpha complex of the given set of points.
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* `alpha` is the curvature of the alpha complex
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* `points` is a list of points encoded as arrays
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**Returns** The alpha-complex of the point set.
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# License
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(c) 2015 Mikola Lysenko. MIT License |