npm-kmeans
Implementation of the k-means clustering algorithm
Implementation of the k-means clustering algorithm
Extends k-means to x-means implemented by node js
A javascript implementation of k-means clustering algorithm that include one/two dimentional arrays, and supports objects as well for coordinates
various machine learning routines for node
K-Means Clustering Module
node wrapper around python implementation of k-means using numpy
node wrapper around python implementation of k-means using numpy
A simple implementation of a single dimensional k-means-clustering algorithm.
A typescript implementation of the k-means algorithm with different customization capabilities.
Colors clustering based on K-means algorithm & CIE76. The seeds are extended color keywords from CSS Color Module Level 3 (W3C Recommendation 07 June 2011).
K-MeansJS contains all the necessary logic for clustering unsupervised n-dimensional data.
kmeans
K-Means to categorize texts using natural algorithm
A simple k-means clustering implement.
cluster the pixels of an image into arbitrary groups
Configurable k-means & k-medians (with k-means++ initialization) for n-D vectors
轻量化kd-tree搜索方法
A tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).
Incrementally partition data into `k` clusters.
A basic Javascript implementation of the cluster analysis algorithm.