Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Author:   B.K. Tripathy (Vellore Institute of Technology, Vellore, India.) ,  Anveshrithaa Sundareswaran (Vellore Institute of Technology, India.) ,  Shrusti Ghela (Vellore Institute of Technology, India.)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032041018


Pages:   160
Publication Date:   02 September 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization


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Author:   B.K. Tripathy (Vellore Institute of Technology, Vellore, India.) ,  Anveshrithaa Sundareswaran (Vellore Institute of Technology, India.) ,  Shrusti Ghela (Vellore Institute of Technology, India.)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.480kg
ISBN:  

9781032041018


ISBN 10:   1032041013
Pages:   160
Publication Date:   02 September 2021
Audience:   Professional and scholarly ,  General/trade ,  Professional & Vocational ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1 Introduction to Dimensionality Reduction Chapter 2 Principal Component Analysis (PCA) Chapter 3 Dual PCA Chapter 4 Kernel PCA Chapter 5 Canonical Correlation Analysis (CCA Chapter 6 Multidimensional Scaling (MDS) Chapter 7 Isomap Chapter 8 Random Projections Chapter 9 Locally Linear Embedding Chapter 10 Spectral Clustering Chapter 11 Laplacian Eigenmap Chapter 12 Maximum Variance Unfolding Chapter 13 t-Distributed Stochastic Neighbor Embedding (t-SNE Chapter 14 Comparative Analysis of Dimensionality Reduction Techniques

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B.K. Tripathy, Anveshrithaa Sundareswaran, Shrusti Ghela

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