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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88 lines
3.3 KiB
88 lines
3.3 KiB
# point-cluster [](https://travis-ci.org/dy/point-cluster) [](http://github.com/badges/stability-badges)
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Point clustering for 2D spatial indexing. Incorporates optimized quad-tree data structure.
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<!--
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* [ ] quad-tree, kd-tree, ann-tree and other tree types.
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* [x] splatting by zoom layers.
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* [x] point selection/hover by range.
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* [ ] point radius and weight.
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* [ ] reverse z-index order mode to keep visible points in reclustering.
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* [ ] appending/removing points.
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* [x] no visually noticeable clustering artifacts.
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* [x] high performance (faster than [snap-points-2d](https://github.com/gl-vis/snap-points-2d)).
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* [x] no memory overuse.
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[DEMO](https://github.com/dy/point-cluster)
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-->
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```js
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const cluster = require('point-cluster')
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let ids = cluster(points)
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// get point ids in the indicated range
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let selectedIds = ids.range([10, 10, 20, 20])
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// get levels of details: list of ids subranges for rendering purposes
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let lod = ids.range([10, 10, 20, 20], { lod: true })
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```
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## API
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### `ids = cluster(points, options?)`
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Create index for the set of 2d `points` based on `options`.
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* `points` is an array of `[x,y, x,y, ...]` or `[[x,y], [x,y], ...]` coordinates.
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* `ids` is _Uint32Array_ with point ids sorted by zoom levels, suitable for WebGL buffer, subranging or alike.
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* `options`
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Option | Default | Description
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---|---|---
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`bounds` | `'auto'` | Data range, if different from `points` bounds, eg. in case of subdata.
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`depth` | `256` | Max number of levels. Points below the indicated level are grouped into single level.
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`output` | `'array'` | Output data array or data format. For available formats see [dtype](https://npmjs.org/package/dtype).
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<!-- `node` | `1` | Min size of node, ie. tree traversal is stopped once the node contains less than the indicated number of points. -->
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<!-- `sort` | `'z'` | Sort values within levels by `x`-, `y`-coordinate, `z`-curve or `r` - point radius. `z` is the fastest for init, `x` or `y` are faster for `lod` and `r` is the most data-relevant. -->
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<!-- `pick` | `'first'` | `'first'`, `'last'` or a function, returning point id for the level. -->
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---
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### `result = ids.range(box?, options?)`
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Get point ids from the indicated range.
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* `box` can be any rectangle object, eg. `[l, t, r, b]`, see [parse-rect](https://github.com/dy/parse-rect).
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* `options`
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Option | Default | Description
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---|---|---
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`lod` | `false` | Makes result a list of level details instead of ids, useful for obtaining subranges to render.
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`px` | `0` | Min pixel size in data dimension (number or `[width, height]` couple) to search for, to ignore lower levels.
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`level` | `null` | Max level to limit search.
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```js
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let levels = ids.range([0,0, 100, 100], { lod: true, d: dataRange / canvas.width })
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levels.forEach([from, to] => {
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// offset and count point to range in `ids` array
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render( ids.subarray( from, to ) )
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})
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```
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### Related
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* [snap-points-2d](https://github.com/gl-vis/snap-points-2d) − grouping points by pixels.
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* [kdgrass](https://github.com/dy/kdgrass) − minimal kd-tree implementation.
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* [regl-scatter2d](https://github.com/dfreative/regl-scatter2d) − highly performant scatter2d plot.
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## License
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© 2017 Dmitry Yv. MIT License
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Development supported by [plot.ly](https://github.com/plotly/).
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