An R package which implements many measures for (graph) partition comparison
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Updated
Aug 23, 2023 - R
An R package which implements many measures for (graph) partition comparison
This code is part of my PhD research. This code select the best partition using the silhouete coefficient.
This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.
This code is part of my doctoral research. The aim is to build, validate and test all possible partitions for multilabel classification using CLUS framework.
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.
Compute similarities measures (categorical data) for all labels in label space for a multilabel dataset
This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.
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.
pspm: R package to estimate Probabilistic Spatial Partition Models
This code generates partitions based on bell numbers for multilabel classification.
This code is part of my doctoral research. The aim choose the best partition generated.
This code is part of my doctoral research. The aim is to generate partitions using Rogers-Tanimoto similarity measure.
This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.
This code is part of my Ph.D. research. Test the best hybrid partition chosen with Macro-F1 criteria using Clus framework.
This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.
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.
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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