DruidJS workerNatural breaksWord Tour: 40k words and their friendsHead/tail breaksHello, kmeans-engineHello, jsgeoda!n-dimensions binning?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 & 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
UMAP Simple Topologies
config = ({
nComponents: 2,
minDist: 0.1,
nNeighbors: 15
})
color = d3
.scaleLinear()
.range(["red", "lime"])
.domain([0, N])
res = dynamic
? Generators.observe(
worker(
dynamic ? fitdynamic : fit,
{ N, precomputed, config },
`
const window = {};
importScripts("https://unpkg.com/umap-js@1.3.0/lib/umap-js.js");
const UMAP = window.UMAP;
`
)
)
: fit({ N, precomputed, config })
distance = {
if (mode === "loop") {
return function distance(i, j) {
return Math.min(Math.abs(i - j), N - Math.abs(i - j));
};
}
if (mode === "lattice") {
const n = Math.sqrt(N) | 0;
return function distance(i, j) {
const x = (Math.abs(i - j) / n) | 0,
y = Math.abs((i % n) - (j % n));
return x + y;
};
}
if (mode === "cylinder") {
const n = Math.sqrt(N) | 0;
return function distance(i, j) {
const x = (Math.abs(i - j) / n) | 0,
y = Math.abs((i % n) - (j % n));
return Math.min(y, n - y) + x;
};
}
if (mode === "torus") {
const n = Math.sqrt(N) | 0;
return function distance(i, j) {
const x = (Math.abs(i - j) / n) | 0,
y = Math.abs((i % n) - (j % n));
return Math.min(y, n - y) + Math.min(x, n - x);
};
}
// mode = line
return function distance(i, j) {
return Math.abs(i - j);
};
}
precomputed = Array.from({ length: N }, (_, i) =>
Array.from({ length: N }, (_, j) => distance(i, j))
)
function fit({ N, precomputed, config }) {
const time = performance.now();
const umap = new UMAP(config);
// mode = precomputed
umap.distanceFn = function distance(i, j) {
return precomputed[i][j];
};
return {
result: umap.fit(Array.from({ length: N }, (_, i) => i)),
time: performance.now() - time
};
}
function* fitdynamic({ N, precomputed, config }) {
const time = performance.now();
const umap = new UMAP(config);
// mode = precomputed
umap.distanceFn = function distance(i, j) {
return precomputed[i][j];
};
yield {
result: Array.from({ length: N }, () => [Math.random(), Math.random()]),
time: performance.now() - time,
epoch: -1
};
const nEpochs = umap.initializeFit(Array.from({ length: N }, (_, i) => i));
yield {
result: Array.from({ length: N }, () => [Math.random(), Math.random()]),
time: performance.now() - time,
epoch: 0
};
var t = performance.now(),
t0 = t;
for (let i = 0; i < nEpochs; i++) {
umap.step();
t = performance.now();
if (t - t0 > 200) {
t0 = t;
yield {
result: umap.getEmbedding(),
time: performance.now() - time,
epoch: i
};
}
}
yield {
result: umap.getEmbedding(),
time: performance.now() - time,
epoch: nEpochs
};
}
UMAP = (await require("umap-js@1.3.2")).UMAP
d3 = require("d3@5")
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