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hybrid-partitions

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cissagatto / plotHPML

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.

machine-learning plot artificial-intelligence multi-label-classification multi-label multi-label-problem label-correlations hybrid-partitions label-partition

Updated Sep 3, 2024
R

cissagatto / HPML

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

ecc partitioning partitions multi-label-classification multi-label clus partitioning-label-space label-correlations label-space random-partitions multi-label-partitions community-detection-methods hybrid-partitions correlations-between-labels modeling-label-correlations exploring-label-correlations self-organized-maps aglomerative-hierarchical-clustering

Updated Sep 24, 2024

cissagatto / Test-Best-Partition-MiF1-Clus

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

multi-label-classification clus multi-label-partitions hybrid-partitions label-space-partitioning label-clustering

Updated Oct 30, 2023
R

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