EvoCluster Demo: An Open-Source Nature-Inspired Optimization Clustering Framework in Python

This is a demo of how to use EvoCluster framework at GitHub and google Colab. EvoCluster is an open-source and cross-platform framework implemented in Python which includes the most well-known and recent nature-inspired metaheuristic optimizers that are customized to perform partitional clustering tasks. The goal of this framework is to provide a user-friendly and customizable implementation of the metaheuristic based clustering algorithms which can be utilized by experienced and non-experienced users for different applications. The current implementation of the framework includes ten metaheuristic optimizers, thirty datasets, five objective functions, and twelve evaluation measures. Github: https://github.com/RaneemQaddoura/EvoCluster Google colab: https://github.com/RaneemQaddoura/EvoCluster/blob/master/EvoCluster.ipynb evo-ml web page: http://evo-ml.com/EvoCluster Paper: https://link.springer.com/chapter/10.1007/978-3-030-43722-0_2