python-clustering 1.3.0

Intuitive access to clustering datasets, methods and tasks

python_clustering is a Python library based on sklearn and numpy.

It provides a wide range of functionality one might consider using during clustering

Documentation

Examples

Some of the examples of using the package are show in the respective folder

Dependencies

• python = “>=3.8,<3.12”

• pandas = “^1.5.3”

• arff = “^0.9”

• scipy = “^1.10.1”

• requests = “^2.28.2”

• matplotlib = “^3.7.1”

• tqdm = “^4.65.0”

• pyod = “^1.0.7”

• tensorflow = “^2.11.0”

Installation

pip install python-clustering

Pytest

To run tests We might specify folder or script:

pytest -q tests

Development

python-clustering development takes place on Github:

Please submit bugs that you encounter to the issue tracker

Further plans

1. Implement Task ideas regarding anomaly detection, calculating number of cluster using various methods, cluster ensembling and cluster similarity

2. Create functionality to detect pathwised cluster

3. Add experimental clustering methods