SparsifiedKMeans

Big data kmeans

An implementation of k-means clustering algorithm optimized for big data by pre-conditioning and sparsifying the data

KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means

GitHub

56 stars
9 watching
46 forks
Language: MATLAB
last commit: over 4 years ago
Linked from 1 awesome list

k-meanskmeansout-of-core

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
kalvar/ios-krkmeans-algorithm K-Means clustering algorithm implementation with multi-dimensional support and customizable features 23
gbuesing/kmeans-clusterer A Ruby implementation of k-means clustering algorithm with features like multiple runs and initial centroid selection. 96
mljs/kmeans An implementation of K-means clustering algorithm in TypeScript. 87
pharo-ai/k-means A Smalltalk implementation of the K-means clustering algorithm 3
emilbayes/kmeans.js A JavaScript implementation of the k-means clustering algorithm 44
thedatumorg/kshape-matlab A Matlab implementation of an efficient and accurate unsupervised method for clustering time-series data 53
kalvar/ios-krfuzzycmeans-algorithm An implementation of Fuzzy C-Means clustering algorithm with fuzzy theory on Machine Learning for data mining and image compression. 12
jeremygelb/geocmeans An R package to apply fuzzy clustering algorithm with spatial dimensions to data 27
xuyxu/clustering This repository provides implementations of various clustering and subspace clustering algorithms in MATLAB, including K-means, ISODATA, Mean Shift, DBSCAN, Gaussian Mixture Model, LVQ, Subspace Clustering Algorithms like Subspace K-means and Entropy-Weighting Subspace K-means. 225
src-d/kmcuda Optimized K-means and K-nn implementation using NVIDIA CUDA with low memory consumption 806
felipexw/knn-java-library An implementation of a K-Nearest Neighbor algorithm for supervised learning 7
neuralmagic/sparseml Enables the creation of smaller neural network models through efficient pruning and quantization techniques 2,076
nathanepstein/knear A JavaScript implementation of the k-nearest neighbors algorithm for supervised machine learning 48
cststack/km Tools and wrappers for managing and interacting with Amazon EKS clusters 4
asbaker/racket-knn An implementation of the K Nearest Neighbors algorithm using Scheme and Racket 16