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.
59 lines
1.5 KiB
59 lines
1.5 KiB
simplicial-complex-contour
|
|
==========================
|
|
Finds a piecewise-linear isocontour on a simplicial complex using the marching simplex method.
|
|
|
|
# Example
|
|
|
|
```javascript
|
|
var extractContour = require('simplicial-complex-contour')
|
|
var bunny = require('bunny')
|
|
|
|
//Solve for the curve z=0 on the surface of the bunny
|
|
var zvalues = bunny.positions.map(function(p) {
|
|
return p[2]
|
|
})
|
|
var curve = extractContour(bunny.cells, zvalues, 0.0)
|
|
|
|
//Unpack edges and positions of curve
|
|
var curveEdges = curve.cells
|
|
var curvePositions = curve.vertexWeights.map(function(w,i) {
|
|
var a = bunny.positions[curve.vertexIds[i][0]]
|
|
var b = bunny.positions[curve.vertexIds[i][1]]
|
|
|
|
return [
|
|
w * a[0] + (1 - w) * b[0],
|
|
w * a[1] + (1 - w) * b[1],
|
|
w * a[2] + (1 - w) * b[2]
|
|
]
|
|
})
|
|
|
|
//Render the curve
|
|
console.log({
|
|
cells: curveEdges,
|
|
positions: curvePositions
|
|
})
|
|
```
|
|
|
|
# Install
|
|
|
|
```
|
|
npm install simplicial-complex-contour
|
|
```
|
|
|
|
# API
|
|
|
|
#### `require('simplicial-complex-contour')(cells, values[, level])`
|
|
Computes a piecewise linear solution to the solution `values=levels`
|
|
|
|
* `cells` is an array of simplices represented by tuples of vertex indices
|
|
* `values` is an array of values defined at each vertex of the cell complex
|
|
* `level` is the level at which the surface is extracted (Default 0)
|
|
|
|
**Returns** An object with 3 properties
|
|
|
|
* `cells` which are the cells of the extracted isosurface
|
|
* `vertexIds` which is an array of pairs of vertex ids encoding the crossing edges
|
|
* `vertexWeights` which are linear weights applied to each vertex
|
|
|
|
# Credits
|
|
(c) 2014 Mikola Lysenko. MIT License |