Discover cissagatto/Best-Partition-MacroF1 Open Source project

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GNU General Publi...
Created over 3 years ago
Updated about 3 years ago

cissagatto

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This code is part of my PhD research. This code select the best partition using the CLUS framework. We choose the partition with the best Macro-F1.

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HPML-J

This code is a part of my doctoral research at PPG-CC/DC/UFSCar. HPML-J is the name of the first experiment carried out: Hybrid Partitions for Multi-Label Classification with index Jaccard.

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This code is part of my doctoral research. The aim is to build, validate and test global partitions for multilabel classification using the CLUS framework.

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This code generate partitions for a multilabel dataset using the Jaccard Index similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.

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Generate-Partitions-Random1

This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.

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R-CLUS-HMC

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Generate-Partitions-Kohonen

This code is part of my PhD research. This code generate hybrid partitions using Kohonen to modeling the labels correlations, and HClust to partitioning the label space.

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Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023

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This repository contains the concepts, equations and commands to do statistical analysis with R and Python

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Best-Partition-Silhouete

This code is part of my PhD research. This code select the best partition using the silhouete coefficient.

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Trabalho 3 da disciplina de Aprendizado de Máquina. Prof. Dr. Diego, Departamento de Computação, UFSCar

Python

MultilabelPerformanceEvaluationMeasures

This code shows how to compute the measures of multi-label classification hand in hand.

rogers

This code generate partitions for a multilabel dataset using the Rogers-Tanimoto similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.

Test-Best-Partition-MacroF1-TT

This code is part of my Ph.D. research. Test the best hybrid partitions with Clus framework.

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HPML

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

cissagatto/Best-Partition-MacroF1

cissagatto

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