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Edited
Feb 7, 2021
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DruidJS workerNatural breaksWord Tour: 40k words and their friendsHead/tail breaksHello, kmeans-engineHello, jsgeoda!Ternary binningHello, Reorder.jsGeometric MedianUMAP SleepwalkDisc TransportSelf-Organizing Maps meet DelaunayHello, AutoencoderCumulative binningPlateau detectionSpherical smallest-circle problemFrida Kahlo’s paletteMean shift clustering with flatbushMean shift clusteringMean shift clustering with kd-treeManhattan Voronoi IIH3 odditiesProtein MatrixUMAP-o-MaticUMAP in A-FrameUMAP of temperatures in Minneapolis/Saint-PaulUMAP Simple TopologiesUMAP & a personalized distance functiont-SNE VoronoiTravelling salesperson approximation with t-SNEtsne.js & workertsne.jsHello tfjs-tsneTravelling salesperson approximation on the globe, with UMAP-jsUMAP-js, worker versionHello UMAP (via Algorithmia)MNIST & UMAP-jsHello UMAP-js
n-dimensions binning?
Also listed in…
Algorithms
{
const chart = DOM.svg(width, width),
g = d3.select(chart).append("g");
const gray = d3
.scaleLinear()
.domain(d3.extent(binned, d => d.length))
.range(["white", "black"]),
binColor = d3
.scaleOrdinal()
.domain([0, binned.length])
.range([].concat(d3.schemeCategory10, d3.schemePaired)),
x = d3
.scaleLinear()
.domain(d3.extent(data.flat()))
.range([10, width - 10]);
g.selectAll("rect")
.data(binned)
.enter()
.append("rect")
.attr("width", bin => x(bin.x1) - x(bin.x0))
.attr("height", bin => x(bin.x3) - x(bin.x2))
.attr("x", bin => x(bin.x0))
.attr("y", bin => x(bin.x2))
.attr("fill", bin => gray(bin.length))
.attr("stroke", "#555");
g.selectAll("g")
.data(binned)
.enter()
.append("g")
.attr("fill", (bin, i) => binColor(i))
.selectAll("circle")
.data(d => d)
.enter()
.append("circle")
.attr("cx", d => x(d[0]))
.attr("cy", d => x(d[1]))
.attr("r", 4)
.attr("stroke", "white");
return chart;
}
random = d3.randomNormal()
data = Array.from({ length: 1000 }, _ => [random(), random()])
binned = multibin(data, d => d[0], d => d[1] /*, d => d[2] , d => d[3] */)
function multibin(data, ...accessors) {
const mdata = data.map(d => ({
d
}));
for (var i = 0; i < accessors.length; i++) {
d3.bin()
.value(d => accessors[i](d.d))(mdata)
.forEach(bin =>
bin.forEach(d => {
d["x" + i * 2] = bin.x0;
d["x" + (i * 2 + 1)] = bin.x1;
})
);
}
return Array.from(
d3
.group(mdata, d => accessors.map((_, i) => d["x" + 2 * i]).toString()) // 👹 TODO: use d3.InternMap
.values()
)
.map(bin => {
const b = bin.map(d => d.d);
for (var i = 0; i < accessors.length; i++) {
b["x" + i * 2] = bin[0]["x" + i * 2];
b["x" + (i * 2 + 1)] = bin[0]["x" + (i * 2 + 1)];
}
return b;
})
.sort((a, b) => {
for (var i = 0; i < accessors.length; i++) {
const r = d3.ascending(a["x" + i * 2], b["x" + i * 2]);
if (r) return r;
}
});
}
d3 = require("d3@5", "d3-array@2")
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