A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Explore high-dimensional datasets and how your algo handles specific regions.

A C++ implementation of simple k-means clustering algorithm.

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

A practical guide to topic mining and interactive visualizations

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

gesture recognition toolkit

golang package to find the K most dominant/prominent colors in an image

经典机器学习算法的极简实现

Plain python implementations of basic machine learning algorithms

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

🎨 Color palette generator from an image using WebAssesmbly and Rust

Absolute balanced kdtree for fast kNN search.

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

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

A simple machine learning framework written in Swift 🤖

🎨 A k-means color scheme generator.

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support