Welcome to MetaCluster’s documentation!

MetaCluster is the largest open-source nature-inspired optimization (Metaheuristic Algorithms) library for clustering problem in Python

• Free software: GNU General Public License (GPL) V3 license

• Total nature-inspired metaheuristic optimizers (Metaheuristic Algorithms): > 200 optimizers

• Total objective functions (as fitness): > 40 objectives

• Total supported datasets: 48 datasets from Scikit learn, UCI, ELKI, KEEL…

• Total performance metrics: > 40 metrics

• Total different way of detecting the K value: >= 10 methods

• Documentation: https://metacluster.readthedocs.io/en/latest/

• Python versions: >= 3.7.x

• Dependencies: numpy, scipy, scikit-learn, pandas, mealpy, permetrics, plotly, kaleido

Quick Start:

• Installation
• Examples
• Visualization

Models API:

• MetaCluster Library
  • metacluster.utils package
    • metacluster.utils.cluster module
    • metacluster.utils.data_loader module
    • metacluster.utils.encoder module
    • metacluster.utils.io_util module
    • metacluster.utils.mealpy_util module
    • metacluster.utils.validator module
    • metacluster.utils.visualize_util module
  • metacluster.metacluster module

Support:

• Citation Request
• Important links
• License

Indices and tables

• Index

• Module Index

• Search Page