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44 packages found
turf clusters-kmeans module
A tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).
k-means based dominant color extraction from images/pixel buffers
A JS/TS implementation of the k-means algorithm.
轻量化kd-tree搜索方法
Removes colors from an image file
K-Means to categorize texts using natural algorithm
Configurable k-means & k-medians (with k-means++ initialization) for n-D vectors
Incrementally partition data into `k` clusters.
- stdlib
- stdmath
- stdml
- ml
- machine
- learning
- mathematics
- math
- statistics
- stats
- data mining
- quantization
- lloyds algorithm
- euclidean
- View more
Density Based Clustering in JavaScript
[demo](https://ppzreboot.github.io/k-colors.js/) | [github](https://github.com/ppzreboot/k-colors.js) | [npm](https://www.npmjs.com/package/k-colors)
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
Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser
Clustering geoJSON with k-means
A typescript implementation of the k-means algorithm with different customization capabilities.
kmeans
Node.js asynchronous implementation of the clustering algorithm k-means
Implementation of the k-means algorithm to partition the values into the clusters.
k-means clustering in TypeScript
Implementation of the k-means-plus-plus algorithm to partition the values into the clusters.