Mahtab-Shabani/Kmeans-Image-Segmentation

Language: MATLAB - Size: 38.1 KB - Last synced at: about 4 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

CosmoOnYT/CustomerDataClustering_KaggleDataset

Repository that contains the full process of a Clustering models creation based on a Kaggle Dataset. Different models of KMeans, DBScan and AHC were created during the process.

Size: 1000 Bytes - Last synced at: about 18 hours ago - Pushed at: about 20 hours ago - Stars: 0 - Forks: 0

Jemarrie/PixCluster

专业的像素聚类智能分析平台，运用AI技术进行图像的像素值聚类，支持文本生成图像与聚类结果智能总结，探索更多图像信息挖掘的可能性。

Language: TypeScript - Size: 297 KB - Last synced at: about 24 hours ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

stdlib-js/ml-incr-kmeans

Incrementally partition data into `k` clusters.

Language: JavaScript - Size: 3.27 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 5 - Forks: 0

donishadsmith/neurocaps

A Python package for performing Co-Activation Patterns (CAPs) analyses on resting-state and task-based fMRI data.

Language: Python - Size: 431 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 6 - Forks: 1

Tikondwe138/customer-segmentation-analysis

Unleash data-driven marketing with this customer segmentation project powered by K-Means clustering. We take raw customer data (like age, income, and spending behavior), clean it, visualize it, and group similar customers into clusters that actually make sense.

Language: Python - Size: 19 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

apachecn/ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Language: Python - Size: 163 MB - Last synced at: 5 days ago - Pushed at: 7 months ago - Stars: 40,898 - Forks: 11,563

fenggwsx/PixCluster

专业的像素聚类智能分析平台，运用AI技术进行图像的像素值聚类，支持文本生成图像与聚类结果智能总结，探索更多图像信息挖掘的可能性。

Language: TypeScript - Size: 300 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 0

SergeyFilipov/GornaOryahovitsa-TSP-ACO

🚌🐜 Optimization of bus routes in Gorna Oryahovitsa using Ant Colony Optimization (ACO) and Greedy TSP algorithms with clustering and interactive map visualization.

Language: HTML - Size: 1.87 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

SergeyFilipov/tml-visitor-behavior-analysis

🧠 Case study on data preprocessing and behavioral analysis of TechnoMagicLand visitors. Includes clustering, correlation, and visualization in R, with focus on identifying repeat visitors and improving engagement strategies.

Language: R - Size: 568 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

dpfens/highp

Fast implementations of various clustering algorithms, trajectory processing, and binary similarity metrics with Python SWIG bindings for select algorithms.

Language: HTML - Size: 436 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Edopramudya/Sentiment-Text-Clustering

Proyek ini berfokus pada preprocessing dan clustering data teks dari dataset sentimen. Dataset yang digunakan berisi teks dan label sentimen (positif, negatif, netral), dan dilakukan pembersihan teks sebelum proses klastering.

Language: Jupyter Notebook - Size: 729 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

D-Diaa/FastLloyd

Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy

Language: Python - Size: 52.7 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

park-kwang-woon/tml-visitor-behavior-analysis

🧠 Case study on data preprocessing and behavioral analysis of TechnoMagicLand visitors. Includes clustering, correlation, and visualization in R, with focus on identifying repeat visitors and improving engagement strategies.

Language: R - Size: 554 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

WangXuan95/TinyPNG-kmeans

一个针对 PNG 图像文件的有损压缩器，使用 Kmeans 把色彩空间量化压缩到256以下，从而利用 PNG 格式的调色板模式 (Palette) 来缩小文件大小。效果好于 https://tinypng.com

Language: Python - Size: 6.75 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 78 - Forks: 6

iacopomasi/AI-ML-Unit-2

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

Language: Jupyter Notebook - Size: 520 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 40 - Forks: 48

alexgiving/LKMeans

Clustering high-dimensional data with Minkowski distance

Language: Python - Size: 3.2 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

powerplayer9/Matlab-KMeans

K-Means Algorithm for RGB Color Image

Language: MATLAB - Size: 1.24 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

zotroneneis/machine_learning_basics

Plain python implementations of basic machine learning algorithms

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 4,376 - Forks: 838

GitMateusTeixeira/03-ml-modeling

Este repositório reúne os projetos que desenvolvi durante o curso de Inteligência Artificial, Machine Learning e Deep Learning do INFNET, baseado na metodologia do MIT. Durante essa jornada, aprimorei meus conhecimentos em Machine Learning, aplicando técnicas como clusterização, classificação, validação de modelos e otimização de hiperparâmetros.

Language: Jupyter Notebook - Size: 78.8 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

yui-mhcp/data_processing

Data processing utilities in keras3

Language: Jupyter Notebook - Size: 86.2 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 5 - Forks: 1

CZFI/ai-resources

Size: 4.88 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

navdeep-G/h2o3-gapstat

Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

Language: Java - Size: 94.7 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

ImageProcessing-ElectronicPublications/scantailor-experimental

Scan Tailor Experimental is an interactive post-processing tool for scanned pages.

Language: C++ - Size: 5.33 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 66 - Forks: 4

solzimer/skmeans

Super fast simple k-means implementation for unidimiensional and multidimensional data.

Language: JavaScript - Size: 503 KB - Last synced at: about 2 hours ago - Pushed at: over 2 years ago - Stars: 76 - Forks: 12

src-d/kmcuda

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

Language: Jupyter Notebook - Size: 701 KB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 830 - Forks: 146

jxareas/Machine-Learning-Notebooks

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 300 - Forks: 111

Sravyatogarla/Unsupervised_ML_Project_Zoo_Dataset

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

blenderskool/pigmnts

🎨 Color palette generator from an image using WebAssesmbly and Rust

Language: Rust - Size: 328 KB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 77 - Forks: 6

Cyberoctane29/Optimizing-K-in-K-means-A-Visual-and-Quantitative-Exploration

Exploring K-means clustering through image color compression and high-dimensional data analysis. Learn how pixel grouping in RGB space builds intuition, while inertia/silhouette scores optimize clusters. Demonstrates K-means' power to reveal patterns in both visual and abstract data by optimizing groupings and selecting ideal k-values.

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

krukah/robopoker

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.

Language: Rust - Size: 2.27 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 117 - Forks: 23

busradeveci/telco-churn-ml

Predicting and analyzing customer churn in telecom using machine learning.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

milesgranger/gap_statistic

Dynamically get the suggested clusters in the data for unsupervised learning.

Language: Rust - Size: 392 KB - Last synced at: 11 days ago - Pushed at: 10 months ago - Stars: 223 - Forks: 47

suyash-thakur/cosine-similarity-threshold

Utility library for calculating cosine similarity thresholds

Language: JavaScript - Size: 22.5 KB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

ankane/faiss-ruby

Efficient similarity search and clustering for Ruby

Language: C++ - Size: 99.6 KB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 140 - Forks: 5

MaartenGr/VLAC

Vectors of Locally Aggregated Concepts

Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 16 days ago - Pushed at: 12 months ago - Stars: 12 - Forks: 4

priskatsna/Indonesia-waste-management-EDA-clustering

Clustering analysis on Indonesian regions based on waste management performance using EDA and K-Means.

Language: Jupyter Notebook - Size: 5.67 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

Razalkr70/Customer-Segmentation-using-dataset

A data science project that segments mall customers using K-Means clustering. Based on age, income, and spending score, it identifies customer groups and visualizes them with 2D and 3D plots for targeted marketing insights.

Language: Python - Size: 382 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

alexwlchan/dominant_colours

A CLI tool to find the dominant colours in an image 🎨

Language: Rust - Size: 10.4 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 99 - Forks: 5

micahtracht/MNIST

A repo for various different ways of classifying handwritten digits using the MNIST dataset. This repo will use: k-means, least squares, and a convolutional neural network.

Language: Python - Size: 38.1 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0

billsioros/cmeans

A version of the K-Means Algorithm targeting the Capacitated Clustering Problem

Language: C++ - Size: 979 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

lilyxgates/queen_of_pop

Using Spotify data and K-Means clustering, this project analyzes top-streamed female artists—like Taylor Swift, Beyoncé, and Ariana Grande—by comparing their popularity, follower counts, and musical genres to uncover patterns among today’s queens of pop.

Language: Python - Size: 4 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

bayram-naouar/customer-segmentation-ecommerce

Customer segmentation project using RFM analysis and clustering algorithms (K-Means, DBSCAN, GMM) to identify distinct customer groups based on purchasing behavior. Includes visualization, evaluation metrics, and parameter tuning methods to support business insights and marketing strategies.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

dimitris-markopoulos/latent-semantic-clustering

Clustering book chapters with unsupervised ML—custom EM-GMM, sklearn baselines, and dimensionality reduction.

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 1

krishnakumarsekar/awesome-quantum-machine-learning

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

Language: HTML - Size: 9.55 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 2,912 - Forks: 695

mariomanroe/Decision-Making-Project-Customer-Segmentation

Customer Segmentation

Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

okaneco/kmeans-colors

k-means clustering library and binary to find dominant colors in images

Language: Rust - Size: 546 KB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 149 - Forks: 10

luxiaoxun/KMeans-GMM-HMM

HMM based on KMeans and GMM

Language: C++ - Size: 406 KB - Last synced at: 27 days ago - Pushed at: over 9 years ago - Stars: 201 - Forks: 82

mljs/kmeans

K-Means clustering

Language: TypeScript - Size: 1.39 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 91 - Forks: 14

N2FlowJS/nbase

NBase is a high-performance vector database for efficient similarity search, designed for machine learning embeddings and neural search applications.

Language: TypeScript - Size: 505 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

syarwinaaa09/clustering-antarctic-penguin-species

unsupervised clustering on Antarctic penguins using the Palmer Penguins dataset

Language: Jupyter Notebook - Size: 121 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MarcosScatolinoBR/Pipeline_Reclamacoes_Publicas_2025

Análise de reclamações públicas focada no setor de logística e e-commerce usando Python e Machine Learning

Language: Python - Size: 17.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Ivordir/quantette

Fast and high quality image quantization and palette generation in the sRGB, Oklab, or CIELAB color spaces.

Language: Rust - Size: 144 MB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 18 - Forks: 1

pingyuu/student_performance_clustering_r

PCA-based clustering of student grades to explore academic performance patterns (R)

Language: R - Size: 146 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

EdlinOrg/prominentcolor

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

Language: Go - Size: 8.25 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 177 - Forks: 30

borchero/pycave

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

Language: Python - Size: 683 KB - Last synced at: about 20 hours ago - Pushed at: 1 day ago - Stars: 126 - Forks: 13

ot-code/FashionRetailCo

Análisis de segmentación de clientes RFM y clustering K-Means para optimizar marketing en retail

Language: Python - Size: 563 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Vergosss/Data_Mining_and_Machine_Learning

Data Mining and Machine Learning 2022-2023 CEID Project. The project entails a COVID-19 Dataset including information about each country's statistics regarding COVID-19. Libraries used: sklearn,pandas,tensorflow.

Language: Python - Size: 4.05 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

mlampros/ClusterR

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

Language: R - Size: 2.53 MB - Last synced at: 9 days ago - Pushed at: 12 months ago - Stars: 85 - Forks: 29

hetuvpatel/ML-Diabetes-Risk-Progression-Stage

Machine learning project analyzing diabetes risk progression using K-Means and Hierarchical clustering techniques on the Pima Indian Diabetes dataset. 🧠📊

Language: Python - Size: 2.44 MB - Last synced at: about 3 hours ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

hetuvpatel/BasketVision

AI-powered real-time basketball analytics system for player, ball, and rim detection, tracking, action annotation, and team classification using YOLOv8, ByteTrack, UMAP, and deep learning. 🏀🤖

Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

arnaldog12/Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 223 - Forks: 62

Hassanibrar632/Flood_Detection_K-mean

This project is to test a simple and a diverse approch to make use of clusters for identify or detect water level in an image using unsupervised learning(K-Mean clustering) instead of object detection model or masking model, which by the way were tested but the result optained was not good enough.

Language: Python - Size: 9.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Jalanjii/optimalalgocpp

Solutions to algorithmic programming problems.

Language: C++ - Size: 21.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

monikagonciarz/AI4EO_final_project

This project utilizes SENTINEL-2 imagery and advanced machine learning techniques (K-means clustering and Convolutional Neural Networks (CNNs)) to detect and monitor coastal erosion and land use transformations in the Saint-Trojan coastal zone of Western France between 2020 and 2025.

Size: 10.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

davimoljo/Kmeans Fork of RyanPAlvim/Kmeans

Trabalho realizado com o objetivo de implementação do algoritmo de agrupamento K-Means em C++, utilizando apenas bibliotecas padrão, mais detalhes no README. Work carried out with the goal of implementing the K-Means clustering algorithm in C++, using only standard libraries. More details can be found in the README.

Language: C++ - Size: 196 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

metakirby5/colorz

:art: A k-means color scheme generator.

Language: Python - Size: 875 KB - Last synced at: 15 days ago - Pushed at: over 6 years ago - Stars: 183 - Forks: 11

CaptchaAgent/hcaptcha-model-factory

🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)

Language: Python - Size: 291 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 75 - Forks: 19

alexandertiopan1212/Streamlit_App_Clustering_Training_Customer

Interactive customer segmentation app using KMeans and KMedoids clustering on alumni training data from POLTEKPEL Banten, powered by Streamlit.

Language: Python - Size: 586 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

TatevKaren/data-science-popular-algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Language: Jupyter Notebook - Size: 9.44 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 119 - Forks: 38

mlampros/SuperpixelImageSegmentation

Image Segmentation using Superpixels, Affinity Propagation and Kmeans Clustering

Language: R - Size: 339 KB - Last synced at: 19 days ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 6

urschrei/ckmeans

Optimal univariate k-means clustering using dynamic programming

Language: Rust - Size: 80.1 KB - Last synced at: 19 days ago - Pushed at: 11 months ago - Stars: 8 - Forks: 0

louisbrulenaudet/apple-ocr

Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.

Language: Python - Size: 146 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 105 - Forks: 5

CybLX/Clustering

This project explores clustering techniques and supervised learning applied to World Cup team performance analysis. The methodologies include K-Means, DBSCAN, K-Nearest Neighbors, Gaussian Mixture Models (GMM), and Agglomerative Clustering.

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AnaAGG/APISPECIES2

In this project you will find the code to create a Python API using Flask. The goal, to create an API that serves as data of species in Spain, where to find them, when to find them and create a model to predict where we can find species that are not in our database.

Language: HTML - Size: 31.6 MB - Last synced at: about 12 hours ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

alessioborgi/Clustering_Deepening

An in-depth exploration of clustering algorithms and techniques in machine learning, with applications focus on Object Tracking and Image Segmentation.

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1

goldensunliu/major-colors

color quantization using kmeans+++ for clustering and CIEDE2000 algorithm for color distance

Language: JavaScript - Size: 553 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 0

geekquad/Fraud-Detection

A Person Of Interest identifier based on ENRON CORPUS data.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 28 - Forks: 8

BGU-CS-VIL/pdc-dp-means

"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]

Language: Python - Size: 554 KB - Last synced at: 23 days ago - Pushed at: 11 months ago - Stars: 18 - Forks: 4

ShivaNeuralNet/-Airline-Passenger-Satisfaction-Unsupervised-Learning-Project

Unsupervised learning project to cluster airline passengers based on satisfaction using KMeans and PCA. Includes feature engineering, visualization, and cluster evaluation.

Language: Jupyter Notebook - Size: 993 KB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

nivu/ai_all_resources

A curated list of Best Artificial Intelligence Resources

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1,181 - Forks: 276

tj2904/lfb-callout-analysis

An investigation into London Fire Brigade's callout data.

Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: about 11 hours ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

thiswillbeyourgithub/AnnA_Anki_neuronal_Appendix

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Language: Python - Size: 3.89 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 64 - Forks: 1

ejw-data/ml-myopia

A variety of machine learning techniques used to identify nearsighted patients

Language: Jupyter Notebook - Size: 22.7 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

shlokashah/MeghNA

This repository contains code for cloud detection and motion prediction algorithms developed during SIH 2020.

Language: Jupyter Notebook - Size: 230 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

pbellot/ANF-TDM

Code, données et documentations de l'atelier "Apprentissage automatique pour la classification textuelle" organisé dans le cadre de l'Action Nationale de Formation "Exploration documentaire et extraction d'information" CNRS-INRAE en 2020-21.

Language: Jupyter Notebook - Size: 57.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

ourownstory/federated_kmeans

Federated k-means clustering algorithm implementation and proof of concept.

Language: Python - Size: 531 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 2

Faroja/Olist-Customers-Segementation

Olist Customers Segementation using 3 method Domain Knowledge, KMeans & DBScan. After Customers segment I Analyst our customers segment behavior

Language: Jupyter Notebook - Size: 71.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

simonharris/pykmeans

K-Means initialisation algorithms implemented in Python as part of my MSc by Dissertation, and used to run the experiments for our paper published in IEEE Access

Language: Python - Size: 84.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 2

dstein64/kmeans1d

A Python package for optimal 1D k-means clustering.

Language: C++ - Size: 70.3 KB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 52 - Forks: 8

thieu1995/MetaCluster

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

Language: Python - Size: 3.14 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4

begeekmyfriend/kdtree

Absolute balanced kdtree for fast kNN search.

Language: C - Size: 28.3 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 180 - Forks: 33

RosNaviGator/ParallelKMeansImageCompressor

Parallel KMeans-based image quantization compressor that reduces the number of colors in an image while preserving visual quality. It uses KMeans clustering for color quantization and supports sequential, OpenMP, MPI, and CUDA implementations for performance and scalability. PoliMi - Advanced Methods for Scientific Computing (2023-2024)

Language: C++ - Size: 47.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Ivordir/Okolors

Generate a color palette from an image using k-means clustering in the Oklab color space.

Language: Rust - Size: 155 MB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 47 - Forks: 1

KotoriK/palette

cluster representative color

Language: TypeScript - Size: 8.17 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MaksimEkin/COVID19-Literature-Clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Language: HTML - Size: 201 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 93 - Forks: 57

huuhuy2910/CovidAnalysis-R-Spark

Dữ liệu lớn

Language: R - Size: 5.28 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Tank97king/Customer-segmentation-phan-khuc-khach-hang

Customer segmentation-Phân khúc khách hàng

Language: Jupyter Notebook - Size: 475 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

HxnDev/K-Means-on-IRIS-Dataset

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.

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RayVilaca/room-occupancy-ML-v2

Nesta segunda versão do projeto, foram explorados novos modelos de Machine Learning para predizer se um cômodo está ocupado ou desocupado.

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