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52 packages found
Density Based Clustering in JavaScript
Clustering geoJSON with k-means
Node.js asynchronous implementation of the clustering algorithm k-means
turf clusters-kmeans module
Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser
Train lightweight machine learning models directly on JavaScript objects
various machine learning routines for node
cluster the pixels of an image into arbitrary groups
Train lightweight machine learning models directly on JavaScript objects
A simple unsupervised learning package for Node JS. Currently provides k-means clustering
Incrementally partition data into `k` clusters.
- stdlib
- stdmath
- stdml
- ml
- machine
- learning
- mathematics
- math
- statistics
- stats
- data mining
- quantization
- lloyds algorithm
- euclidean
- View more
A Collection of Machine Learning algorithms built for use with NodeJS
A WebAssembly implementation of the k-means clustering algorithm for color quantization and general vector-space clustering.
A powerful library for extracting dominant colors from images. It uses the k-means clustering algorithm to analyze the colors in an image and identify the most dominant ones, making it ideal for a range of applications such as image processing, data visua
K-Means clustering
K-Means clusting algo for node
various machine learning routines for node