clustering-algorithms

egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners

ML-algorithms from scratch using Python. Classic Machine Learning course.

jeremy191/clustering-based-anomaly-detection

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

gagolews/clustering-benchmarks

A framework for benchmarking clustering algorithms

Pegah-Ardehkhani/Customer-Segmentation

Customer Personality Analysis Using Clustering

guglielmosanchini/ClustViz

Visualization of many Clustering Algorithms, via Notebook or GUI

Mthrun/FCPS

The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.

durgeshsamariya/awesome-clustering-resources

Clustering related books and research papers.

giusalfieri/IPA_Project

Aircraft detection in satellite images using computer vision and machine learning.

ilhansevval/Machine_Learning

This repository includes machine learning algorithms which is classification, regression, clustering, NLP, PCA, model selection and recommendation systems

Kesa2773/UIImageColorPalette

UIImageColorPalette is a versatile utility for extracting the prominent colors from images in iOS. It efficiently identifies and provides the three most prevalent colors in a UIImage.

arminZolfaghari/CMeans_fuzzy

Classification based on Fuzzy Logic(C-Means) - Computational Intelligence Course 2nd Project

dple/awesome-papers-and-source-code-for-anomaly-detection

Awesome machine learning algorithms for anomaly detection, including papers and source code

Samxx97/Fuzzy-Clustering

An Implementation of fuzzy clustering algorithms in Numpy

billsioros/cmeans

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

mdarm/hyperspectral-image-clustering

Project on hyperspectral-image clustering for the Μ402 - Clustering Algorithms course, NKUA, Fall 2022.

n0obcoder/Clustering-Algorithms-in-Numpy

Implementation of some of the most used Clustering Algorithms from scratch (only using Numpy)

sadit/KCenters.jl

A library gathering diverse algorithms for clustering, similarity search, prototype selection, and data encoding based on k-cluster algorithms.

sahandkhoshdel99/Intelligent-Systems-ML-

elenagarciamorato/PDASC

Approximate Nearest Neighbors for distributed systems using any arbitrary distance function

Saravanan9698/Clickstream_Customer_Conversion

Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.

SergeiNikolenko/AntibodyCluster

The AntibodyCluster repository contains scripts designed to extract sequences of amino acid chains from antibodies present in Protein Data Bank (PDB) format files. The scripts employ the SAbDab database for file processing.

shayanshabani/MIR-2024-Project

A movie information retrieval system that crawls IMDb data, removes duplicates via LSH, indexes movie details, and retrieves relevant results using Okapi BM25. Features include query-based search, classification, clustering, BERT fine-tuning, a recommender system, and evaluation using metrics like precision and recall.

shreyansh-2003/Hands-On-With-Machine-Learning-Algorithms

This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

sn2727/sales-forecasting

Customer segmentation and saales forecasting on online retail dataset from UCI.

SoniSiddharth/SamplingMethods_in_DataScience

Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)

warmachine028/KMeansExample

Simple implementation of the KMeans Clustering algorithm in Python

arshc0der/Movie-Recommendation-System

Movie Recommendation System using Unsupervised Learning A Python-based recommendation engine built with K-Means Clustering that groups movies by genres, ratings, and popularity to suggest similar titles. Developed in a Jupyter Notebook, it demonstrates content-based filtering using real-world movie metadata.

Assem-ElQersh/E-Commerce-Customers-Segmentation

This Repository is a Part of MSC EELU Data Science & Machine Learning Bootcamp Final Project

cgao-comp/DMFO

The code of paper "Xianghua Li, Xin Qi, Xingjian Liu, Chao Gao, Zhen Wang, Fan Zhang, Jiming Liu, A discrete moth-flame optimization with an L2-norm constraint for network clustering, IEEE Transactions on Network Science and Engineering 2022".

HayderAminLab/DENOISING

An Engine for Dynamic Enhancement and Noise Overcoming in Spatiotemporal Multimodal Neural Observations via High-density Microelectrode Arrays

Jieyi-Chen-98/Airlines-Customer-Satisfactory

This project uses Machine Learning prediction methods such as Random Forest, Boosting and Neural Network. Plus, clustering analysis is carried out for more precise marketing strategy for each cluster.

krishna-aditi/customer-segmentation-and-profiling

Unsupervised clustering of a retail store's customer database to perform Customer Segmentation and Profiling.

mascarenhasneil/ChurnModeling

This is Final Capstone Project for ALY6140 80956 Analytics Systems Technology SEC 04 Spring 2021 CPS. Primarily made to learn Data Analytics, Machine Learning, and AI using Python. To cluster Customer churn, understand why the customer is churning (leaving), which customer is churning, how can we predict it and stop it from happening.

Neelanjan-chakraborty/CustoClarity

CUSTO CLARITY is a customer segmentation model built in Python. Using clustering on real retail datasets, it identifies 5 customer segments that unlocked strategic retail partnerships. Powered by scikit-learn, pandas, seaborn, and Matplotlib.

omarr-gamal/IBM-Machine-Learning-with-Python-Course

Machine learning example code in topics such classification, clustering and recommender systems in different techniques and approaches.