Compute similarities measures (categorical data) for all labels in label space for a multilabel dataset
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Updated
Oct 30, 2023 - R
Compute similarities measures (categorical data) for all labels in label space for a multilabel dataset
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.
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 Ph.D. research. Test the best hybrid partitions with Clus framework.
Generates hybrid partitions using community detection methods.
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