{"id":31763923,"url":"https://github.com/quantum-software-development/10-datamining_meanshift","last_synced_at":"2025-10-09T23:38:50.737Z","repository":{"id":318669181,"uuid":"1068054474","full_name":"Quantum-Software-Development/10-DataMining_MeanShift","owner":"Quantum-Software-Development","description":"🪐 10- DataMining- This repo implements the Mean Shift clustering algorithm, which finds clusters by shifting points toward higher density areas without needing a preset number of clusters. 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Notebook","readme":"\u003cbr\u003e\n\n**\\[[🇧🇷 Português](README.pt_BR.md)\\] \\[**[🇺🇸 English](README.md)**\\]**\n\n\u003cbr\u003e\u003cbr\u003e\n\n\n\n#  \u003cp align=\"center\"\u003e 10- [Data Mining]() /  [Main Shift]()\n\n\n\n\u003c!-- ======================================= Start DEFAULT HEADER ===========================================  --\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\n[**Institution:**]() Pontifical Catholic University of São Paulo (PUC-SP)  \n[**School:**]() Faculty of Interdisciplinary Studies  \n[**Program:**]() Humanistic AI and Data Science\n[**Semester:**]() 2nd Semester 2025  \nProfessor:  [***Professor Doctor in Mathematics Daniel Rodrigues da Silva***](https://www.linkedin.com/in/daniel-rodrigues-048654a5/)\n\n\u003cbr\u003e\u003cbr\u003e\n\n#### \u003cp align=\"center\"\u003e [![Sponsor Quantum Software Development](https://img.shields.io/badge/Sponsor-Quantum%20Software%20Development-brightgreen?logo=GitHub)](https://github.com/sponsors/Quantum-Software-Development)\n\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!--Confidentiality statement --\u003e\n\n#\n\n\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\n\n\u003e [!IMPORTANT]\n\u003e \n\u003e ⚠️ Heads Up\n\u003e\n\u003e * Projects and deliverables may be made [publicly available]() whenever possible.\n\u003e * The course emphasizes [**practical, hands-on experience**]() with real datasets to simulate professional consulting scenarios in the fields of **Data Analysis and Data Mining** for partner organizations and institutions affiliated with the university.\n\u003e * All activities comply with the [**academic and ethical guidelines of PUC-SP**]().\n\u003e * Any content not authorized for public disclosure will remain [**confidential**]() and securely stored in [private repositories]().  \n\u003e\n\n\n\u003cbr\u003e\u003cbr\u003e\n\n#\n\n\u003c!--END--\u003e\n\n\n\n\n\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\n\n\n\n\u003c!-- PUC HEADER GIF\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/0d6324da-9468-455e-b8d1-2cce8bb63b06\" /\u003e\n--\u003e\n\n\n\u003c!-- video presentation --\u003e\n\n\n##### 🎶 Prelude Suite no.1 (J. S. Bach) - [Sound Design Remix]()\n\nhttps://github.com/user-attachments/assets/4ccd316b-74a1-4bae-9bc7-1c705be80498\n\n####  📺 For better resolution, watch the video on [YouTube.](https://youtu.be/_ytC6S4oDbM)\n\n\n\u003cbr\u003e\u003cbr\u003e\n\n\n\u003e [!TIP]\n\u003e \n\u003e  This repository is a review of the Statistics course from the undergraduate program Humanities, AI and Data Science at PUC-SP.\n\u003e\n\u003e ### ☞ **Access Data Mining [Main Repository](https://github.com/Quantum-Software-Development/1-Main_DataMining_Repository)**\n\u003e \n\u003e  If you’d like to explore the full materials from the 1st year (not only the review), you can visit the complete repository [here](https://github.com/FabianaCampanari/PracticalStats-PUCSP-2024).\n\u003e\n\u003e\n\n\n\n\u003c!-- =======================================END DEFAULT HEADER ===========================================  --\u003e\n\n\n\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cbr\u003e\u003cbr\u003e\n\n\n\u003c!-- ========================== [Bibliographr ====================  --\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\n## [Bibliography]()\n\n[1](). **Castro, L. N. \u0026 Ferrari, D. G.** (2016). *Introduction to Data Mining: Basic Concepts, Algorithms, and Applications*. Saraiva.\n\n[2](). **Ferreira, A. C. P. L. et al.** (2024). *Artificial Intelligence – A Machine Learning Approach*. 2nd Ed. LTC.\n\n[3](). **Larson \u0026 Farber** (2015). *Applied Statistics*. Pearson.\n\n\n\u003cbr\u003e\n\n### [Complementary Bibliography]()\n\n- THOMAS, C. *Data Mining*. IntechOpen, 2018.  \n- HUTTER, F.; KOTTHOFF, L.; VANSCHOREN, J. *Automated Machine Learning: Methods, Systems, Challenges*. Springer Nature, 2019.  \n- NETTO, A.; MACIEL, F. *Python para Data Science e Machine Learning Descomplicado*. Alta Books, 2021.  \n- RUSSELL, S. J.; NORVIG, P. *Artificial Intelligence: A Modern Approach*. GEN LTC, 2022.  \n- SUD, K.; ERDOGMUS, P.; KADRY, S. *Introduction to Data Science and Machine Learning*. IntechOpen, 2020.\n\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\n      \n\u003c!-- ======================================= Bibliography Portugues ===========================================  --\u003e\n\n\u003c!--\n\n## [Bibliography]()\n\n\n[1](). **Castro, L. N. \u0026 Ferrari, D. G.** (2016). *Introdução à mineração de dados: conceitos básicos, algoritmos e aplicações*. Saraiva.\n\n[2](). **Ferreira, A. C. P. L. et al.** (2024). *Inteligência Artificial - Uma Abordagem de Aprendizado de Máquina*. 2nd Ed. LTC.\n\n[3](). **Larson \u0026 Farber** (2015). *Estatística Aplicada*. Pearson.\n\n\n\u003cbr\u003e\u003cbr\u003e\n--\u003e\n\n\u003c!-- ======================================= Start Footer ===========================================  --\u003e\n\n\n\u003cbr\u003e\u003cbr\u003e\n\n\n## 💌 [Let the data flow... Ping Me !](mailto:fabicampanari@proton.me)\n\n\u003cbr\u003e\u003cbr\u003e\n\n\n\n#### \u003cp align=\"center\"\u003e  🛸๋ My Contacts [Hub](https://linktr.ee/fabianacampanari)\n\n\n\u003cbr\u003e\n\n### \u003cp align=\"center\"\u003e \u003cimg src=\"https://github.com/user-attachments/assets/517fc573-7607-4c5d-82a7-38383cc0537d\" /\u003e\n\n\n\n\n\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\n\n\u003cp align=\"center\"\u003e  ────────────── 🔭⋆ ──────────────\n\n\n\u003cp align=\"center\"\u003e ➣➢➤ \u003ca href=\"#top\"\u003eBack to Top \u003c/a\u003e\n\n\u003c!--\n\u003cp align=\"center\"\u003e  ────────────── ✦ ──────────────\n--\u003e\n\n\n\n\u003c!-- Programmers and artists are the only professionals whose hobby is their profession.\"\n\n\" I love people who are committed to transforming the world \"\n\n\" I'm big fan of those who are making waves in the world! \"\n\n##### \u003cp align=\"center\"\u003e( Rafael Lain ) \u003c/p\u003e   --\u003e\n\n#\n\n###### \u003cp align=\"center\"\u003e Copyright 2025 Quantum Software Development. Code released under the [MIT License license.](https://github.com/Quantum-Software-Development/Math/blob/3bf8270ca09d3848f2bf22f9ac89368e52a2fb66/LICENSE)\n\n\n\n\n\n\n\n\n\n\n\n\n\n","funding_links":["https://github.com/sponsors/Quantum-Software-Development","https://github.com/sponsors/Quantum-Software-Development/card"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantum-software-development%2F10-datamining_meanshift","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantum-software-development%2F10-datamining_meanshift","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantum-software-development%2F10-datamining_meanshift/lists"}