DruidJS worker

Visionscarto

Natural breaks

Word Tour: 40k words and their friends

Head/tail breaks

Hello, kmeans-engine

Hello, jsgeoda!

n-dimensions binning?

Ternary binning

Hello, Reorder.js

Geometric Median

UMAP Sleepwalk

Disc Transport

Self-Organising Maps meet Delaunay

Hello, Autoencoder

Cumulative binning

Plateau detection

Spherical smallest-circle problem

Frida Kahlo’s palette

Mean shift clustering with flatbush

Mean shift clustering

Mean shift clustering with kd-tree

Manhattan Voronoi II

H3 oddities

Protein Matrix

UMAP-o-Matic

UMAP in A-Frame

UMAP of temperatures in Minneapolis/Saint-Paul

UMAP Simple Topologies

UMAP & a personalized distance function

t-SNE Voronoi

Travelling salesperson approximation with t-SNE

tsne.js & worker

tsne.js

Hello tfjs-tsne

Travelling salesperson approximation on the globe, with UMAP-js

UMAP-js, worker version

Hello UMAP (via Algorithmia)

MNIST & UMAP-js

Hello UMAP-js

Clustering

Algorithms

Hello

It's a bit unfortunate that the repo assume familiarity with autoencoders. Do you have any recommended reading for the curious?

Job van der Zwan

I don't understand much either :-)

The following post is interesting as it gives some context (such as "Their main claim to fame comes from being featured in many introductory machine learning classes available online."):
https://blog.keras.io/building-autoencoders-in-keras.html