Whale Optimization Algorithm in Data Clustering

Code for data clustering with the whale optimization algorithm combined with lamarickan learning.

Setup environment

1. Install Python 3.8 - Installation
2. Install Jupyterlab with pip install jupyterlab
3. Install the notebook with pip install notebook
4. Start the notebook with jupyter notebook

Setup algorithm to cluster your data

1. Install the dependencies of the algorithm:

pip install numpy
pip install pandas
pip install sklearn

Input parameters for WOA

The algorithm can be parametrized by the two values maxIter that defines the amount of maximum iterations the algorithm runs throug and numPopulation that defines the amount of whales that are inizialized by the algorithm.

maxIter = 600
numPopulation = 60

Demonstration Video

The Video of the Whale Optimization Algorithm can be found here!

Objective Function

The objective function of the WOA is the sphere function