Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study

In automotive industries, pricing anomalies may occur for components of different products, despite their similar physical characteristics, which raises the total production cost of the company. However, detecting such discrepancies is often neglected since it is necessary to find the problems consi...

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Autores principales: Marcio Trindade Guerreiro, Eliana Maria Andriani Guerreiro, Tathiana Mikamura Barchi, Juliana Biluca, Thiago Antonini Alves, Yara de Souza Tadano, Flávio Trojan, Hugo Valadares Siqueira
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/30d640b41c84415d99418377441764ad
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