Multi-label Stream Classification Software and Datasets

A Self-Organizing Map for Multi-label Stream Classification

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Here you can find the source code for the method SOM-Stream-ML, as described by Cerri et al., 2021. Our proposal is an online unsupervised incremental method based on self-organizing maps for multi-label stream classification in scenarios with infinitely delayed labels.
All our implementations were performed in R. This README file describes the basic steps to execute our code.

Datasets

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Our synthetic datasets were constructed using two generatores: one provided with the MOA framework, and one provided by Read et al., 2012. We also adapted two real-world multi-label datasets provided with the Mulan framework. All our datasets can be downloaded from HERE.

Configuration files for the datasets

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Here you can find the configuration files that can be used to execute the Self-Organizing Maps in the provided datasets. Recall that you can use your own datasets as descrived in the README file. Just construct a corresponding configuration file.