Graph-based clustering index for topology and classification analysis

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dc.creatorJosé Geraldo Fernandes
dc.creatorFrederico Gualberto Ferreira Coelho
dc.creatorAntonio de Padua Braga
dc.date.accessioned2025-06-02T12:42:21Z
dc.date.accessioned2025-09-08T23:30:03Z
dc.date.available2025-06-02T12:42:21Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.20906/SBAI-SBSE-2023/4035
dc.identifier.urihttps://hdl.handle.net/1843/82686
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofXVI Simpósio Brasileiro de Automação Inteligente e X Simpósio Brasileiro de Sistemas de Elétricos
dc.rightsAcesso Aberto
dc.subjectAprendizado do computador
dc.subject.otherClustering Index; Supervised Learning; Gabriel Graph; Machine Learning; Local Clustering.
dc.titleGraph-based clustering index for topology and classification analysis
dc.typeArtigo de evento
local.description.resumoThis 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
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sba.org.br/open_journal_systems/index.php/sbai/article/view/4035

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