This repository hold all experiments conducted during my PhD (2019-2023). HPML means "Hybrid Partitions for Multi-Label Classification". SET-UP-1

This repository contains code for visualizing hybrid partitions, a method that plays a significant role in my PhD thesis. The code is designed to plot data partitions, specifically to highlight the differences between label clusters and instance clusters.

Test the best random partition generated by non hierarchical community detection methods using Clus framework

Test the best hybrid partition generated by non hierarchical comunity detection methods, and threshold sparsification, using Clus Framework.

Test the best hybrid partition generated by non hierarchical comunity detection methods, and k-NN sparsification, using Clus Framework.

Test the best hybrid partition generated by hierarchical community detection methods wiht threshold sparsification using clus framework

Test the best random partition generated by hierarchical community detection methods using clus framework

This code is part of my Ph.D. research. Test the best hybrid partition chosen with Micro-F1 criteria using Clus framework.

Test the best hybrid partition generated by hierarchical comunity detection methods and k-NN sparsification