K-Means clustering

Takes a set of points and partition them into clusters using the k-means algorithm.

TypeScript definitions for node-kmeans

Node.js asynchronous implementation of the clustering algorithm k-means

Implementation of the k-means algorithm to partition the values into the clusters.

Clusters an array of vectors into k clusters using k-means (using random initial centroids and Euclidean as the distance function).

A typescript implementation of the k-means algorithm with different customization capabilities.

Incrementally partition data into `k` clusters.

kmeans plus plus, in typescript!

TypeScript is a language for application scale JavaScript development

Types for the TypeScript-ESTree AST spec

Visitor keys used to help traverse the TypeScript-ESTree AST

A parser that converts TypeScript source code into an ESTree compatible form

A fast, efficient k-means clustering implementation in TypeScript

TypeScript plugin for ESLint

Utilities for working with TypeScript + ESLint together

TypeScript scope analyser for ESLint

An ESLint custom parser which leverages TypeScript ESTree

Type utilities for working with TypeScript + ESLint together

Utilities for collecting TSConfigs for linting scenarios.