Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond (eBook, PDF)
eBook, PDF

Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond (eBook, PDF)

Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024

Redaktion: Villmann, Thomas; Schleif, Frank-Michael; Geweniger, Tina; Kaden, Marika
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The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Sciences Mittweida (UAS Mitt\-weida), Germany, on July 10-12, 2024. The book highlights new developments in the field of interpretable and explainable machine learning for classification tasks, data compression and visualization. Thereby, the main focus is on prototype-based methods with inherent interpretability, computational sparseness and robustness making them as favorite methods for advanced...

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