kmedoids
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Unity3d project that simulates three clustering approaches: K-Means, K-Medoids, and DB-Scan.
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Jan 5, 2021 - C#
Projeto de clusterização de clientes para estratégias de marketing. Utiliza PCA para redução de dimensionalidade, tratamento de outliers com Winsorization e algoritmo K-Medoids para identificar perfis de consumo distintos.
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Dec 27, 2025 - Jupyter Notebook
A simple implementation of K-Means & K-Medoids Clustering
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May 20, 2020 - Python
Interactive customer segmentation app using KMeans and KMedoids clustering on alumni training data from POLTEKPEL Banten, powered by Streamlit.
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Apr 10, 2025 - Python
Comparative analysis of K-Means, K-Medoids, DBSCAN, and Gaussian Mixture Model clustering algorithms for mall customer segmentation.
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Jul 24, 2026 - Jupyter Notebook
A web-based clustering application developed for my undergraduate thesis, utilizing K-Means and K-Medoids algorithms with Silhouette Coefficient optimization. Features include CSV input, exploratory data analysis (EDA), automated preprocessing, and result visualizations.
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Jul 27, 2024 - Python
Performing and deploying clustering algorithm on an unsupervised dataset
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Apr 22, 2024 - Jupyter Notebook
Explore multiple clustering techniques to identify customer clusters for airline client
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Apr 18, 2023 - Jupyter Notebook
A comparison of centroid-based, density-based and hierarchical clustering algorithms
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Dec 19, 2021 - R
Click the link below to checkout the swagger docs of the project
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Nov 23, 2023 - Jupyter Notebook
A comparison on different clustering algorithms using different datasets with performance measurements is shown here.
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Sep 5, 2021 - Jupyter Notebook
Spotify Playlist Album Color Clustering
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Jan 20, 2025 - Python
UNI S6: K medoids, Gaussian naive bayes & dbscan on SORLIE dataset
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Jul 15, 2024 - Python
K Clustering algorithms implemented in Rust Programming Language
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Dec 23, 2021 - Rust
Selection of the best centroid based clustering version with k-medoids and k-means
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Jan 10, 2025 - Python
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