Search results
38 packages found
A tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).
Density Based Clustering in JavaScript
Node.js asynchronous implementation of the clustering algorithm k-means
Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser
various machine learning routines for node
Clustering geoJSON with k-means
turf clusters-kmeans module
A Collection of Machine Learning algorithms built for use with NodeJS
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
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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
node wrapper around python implementation of k-means using numpy
Typedarray integer & float pixel buffers w/ customizable formats, blitting, drawing, convolution
Incrementally partition data into `k` clusters.
- stdlib
- stdmath
- stdml
- ml
- machine
- learning
- mathematics
- math
- statistics
- stats
- data mining
- quantization
- lloyds algorithm
- euclidean
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cluster the pixels of an image into arbitrary groups
Implementation of the k-means clustering algorithm
Extends k-means to x-means implemented by node js
Simple Javascript implementation of the k-means algorithm, for node.js and the browser
A basic Javascript implementation of the cluster analysis algorithm.
various machine learning routines for node
Configurable k-means & k-medians (with k-means++ initialization) for n-D vectors