Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)
This project is devoted to Hyperspectral Images (HSI) processing.
The goal is compare the performance of cost function optimization clustering algorithms on the one hand and the hierarchical algorithms on the other hand, in finding homogeneous regions in the Salinas HSI
For more information regarding the project please check the Project - Custering algorithms.pdf
For more details regarding the algorithms that were utilized and the corresponding results please check the Clustering_Project.pdf
Code for the implementation of the clustering algorithms is based on: https://github.com/pikrakis/Introduction-to-Pattern-Recognition-a-Matlab-Approach