Description

Book Synopsis

Introduction.- Representation Learning in high dimension.- Review of Feature selection and clustering approaches.- Towards deep learning.- Deep learning architectures for feature extraction and selection.- Unsupervised Deep Feature selection techniques.- Deep Clustering Techniques.- Issues and Challenges.- Conclusion.

Feature and Dimensionality Reduction for Clustering with Deep Learning

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    A Paperback by Frederic Ros

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      View other formats and editions of Feature and Dimensionality Reduction for Clustering with Deep Learning by Frederic Ros

      Publisher: Springer
      Publication Date: Publication Date: 04/01/2025
      ISBN13: 9783031487453, 978-3031487453
      ISBN10:

      Description

      Book Synopsis

      Introduction.- Representation Learning in high dimension.- Review of Feature selection and clustering approaches.- Towards deep learning.- Deep learning architectures for feature extraction and selection.- Unsupervised Deep Feature selection techniques.- Deep Clustering Techniques.- Issues and Challenges.- Conclusion.

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