The avatar for @fil
Fil
Vocateur.
Public
Edited
Mar 25
2 forks
Importers
18 stars
Clustering
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 flatbush
Mean shift clustering
Mean 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
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Algorithms
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function* meanshift(initial_points) {
const points = initial_points.slice(),
n = points.length;
let delta;

do {
delta = 0;
for (let i = 0; i < n; i++) {
const p = points[i],
q = new Float32Array(p.length);
let weight = 0;
for (let j = 0; j < n; j++) {
const ip = initial_points[j],
d = distance(p, ip),
w = kernel(d);
weight += w;
for (let k = 0; k < q.length; k++) q[k] += w * ip[k];
}
for (let k = 0; k < q.length; k++) q[k] /= weight;

delta = Math.max(delta, distance(p, q));
points[i] = q;
}
yield points;
} while (delta > 1e-3);
}
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