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50 packages found
Color Quantiliaztion in vanilla Javascript for browser/Nodejs, powered by an optimized k-means algorithm.
A JS/TS implementation of the k-means algorithm.
轻量化kd-tree搜索方法
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
JavaScript search engine
- JavaScript
- search
- engine
- search-engine
- bitap
- typescript
- fulltext
- string-search
- TFIDF
- BM25
- KMeans
- Naive-Bayes
- spelling
- ngram
Financial Technical Analysis in JavaScript
Use Python's #1 machine learning library from Node.js
- scikit
- learn
- sklearn
- machine learning
- ml
- ai
- SelectorMixin
- CalibratedClassifierCV
- AffinityPropagation
- AgglomerativeClustering
- Birch
- DBSCAN
- FeatureAgglomeration
- KMeans
- View more
A library to extract dominant colors from images.
[demo](https://ppzreboot.github.io/k-colors.js/) | [github](https://github.com/ppzreboot/k-colors.js) | [npm](https://www.npmjs.com/package/k-colors)
A wasm library for finding the dominant colors in an image using kmeans clustering
Hierarchical clustering algorithms
Machine Learning library for the web and Node
- Machine Learning
- Javascript
- Typescript
- RandomForest
- ensemble
- statistics
- feature extration
- datasets
- preprocessing
- Decision Tree
- SVM
- KMeans
- KNearestNeighbor
- decomposition
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Scalable kmeans clustering algorithm in js using objects as input vectors, tailor made for sparse matrix
Machine Learning library for the web and Node
- Machine Learning
- Javascript
- Typescript
- RandomForest
- ensemble
- statistics
- feature extration
- datasets
- preprocessing
- Decision Tree
- SVM
- KMeans
- KNearestNeighbor
- decomposition
- View more
Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser
Clusters an array of vectors into k clusters using k-means (using random initial centroids and Euclidean as the distance function).
kmeans
Utility library for calculating cosine similarity thresholds