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40 packages found
A simple implementation of a single dimensional k-means-clustering algorithm.
- basic
- simple
- k-means
- kmeans
- k-means-clustering
- clustering
- statistics
- analysis
- binning
- grouping
- cluster
- 1D
- single-dimension
- machine-learning
kmeans
Implementation of the k-means clustering algorithm
node wrapper around python implementation of k-means using numpy
A typescript implementation of the k-means algorithm with different customization capabilities.
Implementation of the k-means algorithm to partition the values into the clusters.
Implementation of the k-means-plus-plus algorithm to partition the values into the clusters.
Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
- bloom filter
- canberra
- caverphone
- chebyshev
- cologne
- cosine
- clustering
- daitch-mokotoff
- dice
- fingerprint
- fuzzy
- hamming
- k-means
- jaccard
- View more
A implementation of a variant of k-means algorithm to get groups from the waypoints with the same size
k-means with k-means++-initialization
k-means clustering in TypeScript
K-Means implementation in JavaScript
K-Means Clustering for Unsupervised Learning
turf clusters-kmeans module
A javascript implementation of k-means clustering algorithm that include one/two dimentional arrays, and supports objects as well for coordinates
K-Means Clustering Module
Machine Learning library for node.js
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).
`DataHunter is a module that acts as a black-box predicting information given a historical dataSet(an array of JavaScript objects)