A Novel Density-Based Clustering Approach for Outlier Detection in High-Dimensional Data - researchr publication authors

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Thouraya Aouled Messaoud, Abir Smiti, Aymen Louati. A Novel Density-Based Clustering Approach for Outlier Detection in High-Dimensional Data. In Hilde Pérez García, Lidia Sánchez-González, Manuel Castejón Limas, Héctor Quintián-Pardo, Emilio S. Corchado Rodríguez, editors, Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings. Volume 11734 of Lecture Notes in Computer Science, pages 322-331, Springer, 2019. [doi]

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