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affinity-propagation

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This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compared: KMeans, Agglomerative Clustering ,Affinity Propagation and DBSCAN.

  • Updated Oct 19, 2020
  • Jupyter Notebook

A curated list of 20 clustering algorithms implemented in or accessible via Scikit-learn 🧠 These algorithms are widely used for unsupervised learning, pattern discovery, and data segmentation.

  • Updated Oct 26, 2025
  • Python

FormicaX: Rust library with clustering algorithms like K-Means, DBSCAN, and GMM, FormicaX delivers efficient, adaptable insights for trading applications. Inspired by the collaborative and resilient nature of ants (Formica), it offers a modular, high-performance framework for developers and data scientists.

  • Updated Jul 9, 2025
  • Rust

Sklearn, K-means Clustering, Hierarchical Clustering, DBSCAN, Mean Shift Clustering, Gaussian Mixture Models (GMM), Spectral Clustering, Affinity Propagation, OPTICS (Ordering Points to Identify the Clustering Structure), Birch (Balanced Iterative Reducing and Clustering using Hierarchies), marketing_campaign

  • Updated Jun 16, 2023
  • Jupyter Notebook

👩🏻‍🚀 1-Data Miining Main Repo -focusing on unsupervised learning methods (clustering, PCA, dictionary learning, anomaly detection) applied to real-world projects for third-sector organizations. Results are shared publicly in open repositories and community platforms.

  • Updated Oct 27, 2025
  • Jupyter Notebook

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