cluster-kmeans
Clusters an array of vectors into k clusters using k-means (using random initial centroids and Euclidean as the distance function).
Found 48 results for kmeans
Clusters an array of vectors into k clusters using k-means (using random initial centroids and Euclidean as the distance function).
node wrapper around python implementation of k-means using numpy
A Library for Calculating K-Means using Tensorflow, for browser
K-Means implementation in JavaScript
Scalable kmeans clustering algorithm in js using objects as input vectors, tailor made for sparse matrix
A simple data mining library, written in TypeScript
轻量化kd-tree搜索方法
A JS/TS implementation of the k-means algorithm.
Machine Learning library for skale-engine
A Library for Calculating K-Means using Tensorflow
A Library for Calculating K-Means using Tensorflow, add save model function, for nodejs
Gap statistic for kmeans analysis
K means clustering on colors
k-means clustering in TypeScript
A javascript implementation of k-means clustering algorithm that include one/two dimentional arrays, and supports objects as well for coordinates
Implementation of the k-means clustering algorithm
Simple kmean clustering
kmeans clustering in JS
a tool for calculating the result of suggestion with kmeans algorithm
Train machine learning models in pure Javascript using battle-tested implementations that improve on Python's sklearn and R's caret.
A wasm library for finding the dominant colors in an image using kmeans clustering
Utility library for calculating cosine similarity thresholds
an implementation of the kmeans quantization algorithm
kmeans
A library to extract dominant colors from images.
K-Means clustering of multi-dimensional observations using TypeScript and Node