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