Graph-based clustering index for topology and classification analysis
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Universidade Federal de Minas Gerais
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This work proposes a quality index based on a graph of distance relationships, the
Gabriel Graph, to analyze the performance of classification models. The results have shown
a consistent correlation between the quality index and the model’s predictions, both at an
individual and global level. These findings emphasize the importance of considering the data
space to explain and optimize the performance of classification models
Abstract
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Clustering Index; Supervised Learning; Gabriel Graph; Machine Learning; Local Clustering.
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https://www.sba.org.br/open_journal_systems/index.php/sbai/article/view/4035