# python-kmedoids

> Fast K-Medoids clustering in Python with FasterPAM

**Wikidata**: [Q120703066](https://www.wikidata.org/wiki/Q120703066)  
**Source**: https://4ort.xyz/entity/python-kmedoids

## Summary
python-kmedoids is a free software library for the Python programming language designed for fast K-Medoids clustering using the FasterPAM algorithm. It provides an efficient implementation for partitioning datasets and is accessible via GitHub and standard documentation resources. The library is actively maintained, with its most recent stable release (version 0.5.2) published in September 2024.

## Key Facts
- **Entity Type:** Free software (distributed under terms allowing users to freely run, study, change, and distribute it).
- **Primary Function:** Fast K-Medoids clustering in Python utilizing the FasterPAM algorithm.
- **Programming Language:** Python.
- **Latest Stable Version:** 0.5.2 (released September 10, 2024).
- **Source Code Repository:** Hosted on GitHub at `https://github.com/kno10/python-kmedoids`.
- **Documentation:** Available at `https://python-kmedoids.readthedocs.io/en/latest/`.
- **Academic Source:** Described by the source "Fast k-medoids Clustering in Rust and Python."
- **Download Access:** Releases are available at `https://github.com/kno10/python-kmedoids/releases`.
- **Development Timeline:** Development versions tracked in the provided data range from version 0.2.0 (January 2022) to version 0.5.2 (September 2024).

## FAQs
### Q: What is the primary algorithm used by python-kmedoids?
A: The library uses FasterPAM to perform fast K-Medoids clustering. This approach is designed to improve the speed and efficiency of the clustering process compared to traditional methods.

### Q: Where can the source code and documentation for python-kmedoids be found?
A: The source code is hosted on GitHub at `https://github.com/kno10/python-kmedoids`, and the official documentation is hosted at `https://python-kmedoids.readthedocs.io/en/latest/`.

### Q: What is the most recent stable version of python-kmedoids?
A: As of the latest provided data, the most recent stable version is 0.5.2, which was released on September 10, 2024.

## Why It Matters
python-kmedoids serves as a critical tool for data scientists and researchers requiring robust clustering capabilities within the Python ecosystem. By implementing the FasterPAM algorithm, this library addresses performance limitations often found in standard K-Medoids implementations, allowing for faster computation times on complex datasets.

K-Medoids clustering is often preferred over K-Means when dealing with data sensitive to outliers or when a non-Euclidean distance metric is required. python-kmedoids makes these advanced capabilities accessible through a standard Python interface, lowering the barrier to entry for implementing sophisticated clustering in real-world applications. Its classification as free software further encourages open collaboration and modification, fostering wider adoption in both academic and commercial sectors.

## Notable For
- Implementing the **FasterPAM** algorithm, distinguishing it from slower, standard K-Medoids implementations.
- Being **free software**, allowing for unrestricted use, modification, and distribution.
- Active maintenance and frequent updates, evidenced by multiple stable releases through 2024.
- Integration with the Python programming language, the standard for modern data science workflows.
- Support through dedicated **Read the Docs** documentation and GitHub repository management.

## Body
### Technical Overview
python-kmedoids is a specialized Python package designed to execute K-Medoids clustering. Unlike the more common K-Means algorithm, K-Medoids selects actual data points (medoids) as cluster centers rather than the mean of points, making it more robust to noise and outliers in the data. The library specifically employs the FasterPAM algorithm to optimize this process, offering performance improvements over legacy alternatives.

The software is written in Python and classified as free software. It is described academically by the source "Fast k-medoids Clustering in Rust and Python."

### Version History and Releases
The development of python-kmedoids shows a consistent release schedule from early 2022 through late 2024. Key version milestones include:

- **v0.2.0:** Released on January 13, 2022.
- **v0.3.x Series:** Saw iterative updates in April, June, and July 2022.
- **v0.4.x Series:** Released between September 2022 and April 2023.
- **v0.5.0:** Marked as a "stable version," released on December 10, 2023.
- **v0.5.1:** Stable version released on March 14, 2024.
- **v0.5.2:** The latest stable version recorded, released on September 10, 2024.

### Access and Resources
The project is publicly hosted on GitHub under the user or organization `kno10`. The repository serves as the central hub for source code and issue tracking.
- **Repository URL:** `https://github.com/kno10/python-kmedoids`
- **Download URL:** `https://github.com/kno10/python-kmedoids/releases`
- **Documentation:** Comprehensive user guides and API references are hosted at `https://python-kmedoids.readthedocs.io/en/latest/`.

## References

1. [Release 0.2.0. 2022](https://github.com/kno10/python-kmedoids/releases/tag/v0.2.0)
2. [Release 0.3.1. 2022](https://github.com/kno10/python-kmedoids/releases/tag/v0.3.1)
3. [Release 0.3.2. 2022](https://github.com/kno10/python-kmedoids/releases/tag/v0.3.2)
4. [Release 0.3.3. 2022](https://github.com/kno10/python-kmedoids/releases/tag/v0.3.3)
5. [Release 0.4.1. 2022](https://github.com/kno10/python-kmedoids/releases/tag/v0.4.1)
6. [Release 0.4.2. 2023](https://github.com/kno10/python-kmedoids/releases/tag/v0.4.2)
7. [Release 0.4.3. 2023](https://github.com/kno10/python-kmedoids/releases/tag/v0.4.3)
8. [Release 0.5.0. 2023](https://github.com/kno10/python-kmedoids/releases/tag/v0.5.0)
9. [Release 0.5.1. 2024](https://github.com/kno10/python-kmedoids/releases/tag/v0.5.1)
10. [Release 0.5.2. 2024](https://github.com/kno10/python-kmedoids/releases/tag/v0.5.2)
11. [Release 0.5.3. 2024](https://github.com/kno10/python-kmedoids/releases/tag/v0.5.3)
12. [Release 0.5.4. 2025](https://github.com/kno10/python-kmedoids/releases/tag/v0.5.4)
13. [Source](https://api.github.com/repos/kno10/python-kmedoids)