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

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

Updated Oct 24, 2024
Jupyter Notebook

jeremy191 / clustering-based-anomaly-detection

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

anaconda clustering dataset kmeans-clustering lof anomaly-detection f1-score ids2017 normalized-mutual-info nsl-kdd isolation-forest missing-values onehot-encoder dbscan-algorithm clustering-algorithms min-max-scaler simple-imputer score-metrics

Updated Dec 5, 2019
Jupyter Notebook

gagolews / clustering-benchmarks

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A framework for benchmarking clustering algorithms

benchmarking data-science data machine-learning clustering cluster dataset datasets cluster-analysis ground-truth clustering-evaluation benchmark-suite clustering-algorithms clustering-benchmarks

Updated Jul 14, 2025
Python

guglielmosanchini / ClustViz

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Visualization of many Clustering Algorithms, via Notebook or GUI

visualization graphviz gui notebook clustering pam chameleon optics metis dbscan hierarchical-clustering clara hdbscan explainable-ai birch clustering-algorithms clarans clustering-visualization-notebook denclue

Updated Apr 6, 2021
Jupyter Notebook

Pegah-Ardehkhani / Customer-Segmentation

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Customer Personality Analysis Using Clustering

python data-science machine-learning clustering agglomerative-clustering customer-segmentation customer-segmentation-analysis clustering-algorithms customer-analysis customer-personality-analysis customer-profiling

Updated Dec 10, 2024
Jupyter Notebook

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.

data-mining r-package cluster-analysis unsupervised-machine-learning clustering-algorithms cluster-tendency cluster-challenge

Updated May 29, 2023
HTML

giusalfieri / IPA_Project

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

opencv template-matching machine-learning computer-vision python3 feature-extraction data-preprocessing svm-classifier satellite-images cpp20 clustering-algorithms aircraft-detection

Updated Jul 30, 2024
C++

Kesa2773 / UIImageColorPalette

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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.

computer-vision objective-c image-processing color-palette uiimage uicolor graphics-programming ios-development image-rendering color-analysis clustering-algorithms

Updated Oct 6, 2023
Objective-C

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

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

open-source deep-learning machine-learning-algorithms outlier-detection anomaly-detection isolation-forest distance-based-outlier-detection clustering-algorithms

Updated Dec 11, 2020

billsioros / cmeans

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

clustering vrp kmeans clustering-algorithm kmeans-clustering kmeans-algorithm kmeans-clustering-algorithm clustering-algorithms

Updated Apr 1, 2024
C++

n0obcoder / Clustering-Algorithms-in-Numpy

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

python numpy kmeans kmeans-clustering kmeans-algorithm meanshift kmeans-clustering-algorithm clustering-algorithms

Updated Dec 9, 2020
Python

mdarm / hyperspectral-image-clustering

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

hyperparameter-optimization principal-component-analysis hierarchical-clustering k-means-clustering hyperspectral-imaging elbow-method calinski-harabaz-score adjusted-rand-index clustering-algorithms mutual-information-score

Updated Aug 11, 2023
MATLAB

sadit / KCenters.jl

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

encoding clustering-algorithms prototype-selection k-centers

Updated Mar 26, 2025
Julia

shayanshabani / MIR-2024-Project

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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.

machine-learning information-retrieval recommender-systems bert classification-algorithms clustering-algorithms llms

Updated Nov 13, 2024
Jupyter Notebook

elenagarciamorato / PDASC

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Approximate Nearest Neighbors for distributed systems using any arbitrary distance function

python distributed-systems nearest-neighbor-search distance-measures approximate-nearest-neighbor-search clustering-algorithms

Updated Sep 8, 2025
Python

SergeiNikolenko / AntibodyCluster

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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.

python bioinformatics fasta cluster-analysis anaconda-environment clustering-algorithms sabdab antibody-sequencing amino-acid-sequencing pdb-file-processing

Updated May 11, 2023
Jupyter Notebook

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

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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.