{"id":18464066,"url":"https://github.com/labrijisaad/git-clustering","last_synced_at":"2026-02-05T08:30:49.400Z","repository":{"id":225634474,"uuid":"766452653","full_name":"labrijisaad/Git-Clustering","owner":"labrijisaad","description":"Enhanced and Repackaged GIT Clustering: This repository offers an open-source, enhanced version of the GIT (Graph of Intensity Topology) clustering algorithm.","archived":false,"fork":false,"pushed_at":"2024-04-06T11:34:39.000Z","size":94213,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-23T12:58:55.120Z","etag":null,"topics":["benchmarking-clustring-algo","cicd","clustring","distributing","git","git-clustering","packaging","testpypi","unsupervised-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/labrijisaad.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-03-03T10:04:11.000Z","updated_at":"2024-04-06T11:35:25.000Z","dependencies_parsed_at":"2024-03-31T16:42:17.797Z","dependency_job_id":null,"html_url":"https://github.com/labrijisaad/Git-Clustering","commit_stats":null,"previous_names":["labrijisaad/git-clustering"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/labrijisaad/Git-Clustering","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/labrijisaad%2FGit-Clustering","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/labrijisaad%2FGit-Clustering/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/labrijisaad%2FGit-Clustering/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/labrijisaad%2FGit-Clustering/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/labrijisaad","download_url":"https://codeload.github.com/labrijisaad/Git-Clustering/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/labrijisaad%2FGit-Clustering/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29116964,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-05T05:31:32.482Z","status":"ssl_error","status_checked_at":"2026-02-05T05:31:29.075Z","response_time":65,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["benchmarking-clustring-algo","cicd","clustring","distributing","git","git-clustering","packaging","testpypi","unsupervised-learning"],"created_at":"2024-11-06T09:08:45.725Z","updated_at":"2026-02-05T08:30:49.384Z","avatar_url":"https://github.com/labrijisaad.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Enhanced and Repackaged GIT Clustering 🌐🔍\n\n📦 **Discover the Package on TestPyPI**: [git_cluster Package](https://test.pypi.org/project/git_cluster/)\n\n🔍 **Dive Deeper in Our GitHub Repository**: [Git-Clustering GitHub Repo](https://github.com/labrijisaad/Git-Clustering)\n\n## About 📖\nThis repository introduces an enhanced version of the GIT (Graph of Intensity Topology) clustering algorithm. It's been **augmented with additional methods**, **repackaged** for ease of use, and includes **comprehensive benchmarks** to demonstrate its performance. 🚀\n\n## Features ✨\n- **Broad Applicability:** Tested across a variety of datasets. 🌍 (See the benchmarks in the [notebooks/](https://github.com/labrijisaad/Git-Clustering/tree/main/notebooks)).\n- **User-friendly Packaging:** Simplified integration into your projects. 📦\n\n## Usage 🛠️\nTo get started, explore the [notebooks/Quick_Start_with_GIT.ipynb](https://github.com/labrijisaad/Git-Clustering/blob/main/notebooks/Quick_Start_with_GIT.ipynb) notebook for a step-by-step guide on applying this algorithm to your data.\n\n## Testing in Google Colab 🧪\n\nTo validate the installation and functionality of the GIT Clustering package, you can either run the steps manually following the instructions below or click the **Open in Colab** button to open a Colab notebook where everything is set up for you.\n\n[![Run in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/labrijisaad/Git-Clustering/blob/main/notebooks/Quick_Start_with_GIT.ipynb)\n\n### Manual Installation and Execution\nFollow these steps to manually install the GIT Clustering package and test its functionality:\n\n1. **Install the GIT Clustering package from TestPyPI and upgrade gdown for dataset downloading:**\n    ```bash\n    !pip install -i \"https://test.pypi.org/simple/\" git_cluster\n    !pip install -U gdown\n    ```\n\n2. **Download the datasets and prepare it for use:**\n    ```bash\n    !gdown 1yNwCStP3Sdf2lfvNe9h0WIZw2OQ3O2UP \u0026\u0026 unzip datasets.zip\n    ```\n\n3. **Execute a sample clustering process:**\n    ```python\n    from git_cluster import GIT\n    from utils import alignPredictedWithTrueLabels, autoPlot\n    from dataloaders import Toy_DataLoader as Toy_DataLoader\n\n    # Load the Circles Dataset\n    X_circles, Y_circles_true = Toy_DataLoader(name='circles', \n                                              path=\"/content/datasets/toy_datasets\").load()\n\n    # Create an instance of the GIT clustering\n    git = GIT(k=12, target_ratio=[1, 1])\n\n    # Fit the GIT model to the dataset and predict cluster labels.\n    Y_circles_pred = git.fit_predict(X_circles)\n\n    # Plot the dataset and highlight the clusters with different colors.\n    autoPlot(X_circles, Y_circles_pred)\n    ```\n\n## Acknowledgments 🎉\n- We extend our thanks to the original authors of the GIT algorithm for their foundational work in `Clustering Based on Graph of Intensity Topology`:\n  - Gao, Zhangyang and Lin, Haitao and Tan, Cheng and Wu, Lirong and Li, Stan and others.\n\n## Citing This Work 📝\nIf you use the GIT Clustering algorithm in your research or project, please consider citing the original work:\n\n```bibtex\n@article{gao2021git,\n  title={Git: Clustering Based on Graph of Intensity Topology},\n  author={Gao, Zhangyang and Lin, Haitao and Tan, Cheng and Wu, Lirong and Li, Stan and others},\n  journal={arXiv preprint arXiv:2110.01274},\n  year={2021}\n}\n```\n\n## Connect with me 🌐\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://www.linkedin.com/in/labrijisaad/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/LinkedIn-%230077B5.svg?\u0026style=for-the-badge\u0026logo=linkedin\u0026logoColor=white\" alt=\"LinkedIn\" style=\"margin-bottom: 5px;\"/\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/labrijisaad\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/GitHub-100000?style=for-the-badge\u0026logo=github\u0026logoColor=white\" alt=\"GitHub\" style=\"margin-bottom: 5px;\"/\u003e\n  \u003c/a\u003e\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flabrijisaad%2Fgit-clustering","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flabrijisaad%2Fgit-clustering","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flabrijisaad%2Fgit-clustering/lists"}