• Pages: 32 • Paper Type: Offset • Binding: Saddle Pin • Dimensions: 22 x 28 x 0.5 cm • ISBN no. 978-969-508-820-3
This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and tricks participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures.
Feature and Dimensionality Reduction for Clustering with Deep Learning [Book]
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