Topic: "multi-label-partitions"
cissagatto/HPML
This repository hold all experiments conducted during my PhD (2019-2023). HPML means "Hybrid Partitions for Multi-Label Classification". SET-UP-1
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ml-lab-sau/BT-MA
BT-MA is a Multi-label Machine learning model
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cissagatto/Bracis2023
Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023
Size: 2.94 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Best-Partition-MiF1-Clus
This code is part of my Ph.D. research. This code selects the best partition using the CLUS framework. We choose the partition with the best Micro-F1.
Language: R - Size: 16.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Best-Partition-MaF1-Clus
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.
Language: R - Size: 16.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/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.
Language: R - Size: 17.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Generate-Partitions-Random2
This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.
Language: R - Size: 17.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Generate-Partitions-Jaccard
This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.
Language: R - Size: 18.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
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.
Language: R - Size: 15.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/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.
Language: R - Size: 16.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Generate-Partitions-Random3
This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.
Language: R - Size: 16.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Chains-Hybrid-Partition
This code is part of my doctoral research. The aim is test the best hybrid partitions chosen with silhouette coefficient. But here we using a chain of hybrid partitions to do the test.
Language: R - Size: 50.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Best-Partition-Silhouette
This code is part of my PhD research. This code select the best partition using the silhouete coefficient.
Language: R - Size: 50.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0