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Disambiguation of "Molinié, Dylan"

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Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0.

, , and . IWANN (2), volume 14135 of Lecture Notes in Computer Science, page 435-450. Springer, (2023)

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Sam Dylan Moré

John-Dylan Haynes

John - Dylan Haynes

Phillip Dylan Thomas Knobloch

Alexander Dylan Piers Boreham

 

Other publications of authors with the same name

Characterizing N-Dimension Data Clusters: A Density-based Metric for Compactness and Homogeneity Evaluation., and . IN4PL, page 13-24. SCITEPRESS, (2021)Behavioral Modeling of Real Dynamic Processes in an Industry 4.0-Oriented Context., , and . DATA, page 510-517. SCITEPRESS, (2023)BSOM: A Two-Level Clustering Method Based on the Efficient Self-Organizing Maps., and . ICCAD, page 1-6. IEEE, (2022)Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0., , and . IWANN (2), volume 14135 of Lecture Notes in Computer Science, page 435-450. Springer, (2023)HyDensity: A Hyper-Volume-Based Density Metric for Automatic Cluster Evaluation., , and . IN4PL (Revised Selected Papers), volume 1855 of Communications in Computer and Information Science, page 50-69. Springer, (2021)Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA)., , , and . Mach. Learn. Knowl. Extr., 5 (3): 979-1009 (June 2023)Clustering at the Disposal of Industry 4.0: Automatic Extraction of Plant Behaviors., , and . Sensors, 22 (8): 2939 (2022)ECD Test: An Empirical Way based on the Cumulative Distributions to Evaluate the Number of Clusters for Unsupervised Clustering., and . IN4PL, page 279-290. SCITEPRESS, (2022)Identifying the Behaviors of an Industrial Plant: Application to Industry 4.0., , and . IDAACS, page 802-807. IEEE, (2021)