Unsupervised learning approaches for dimensionality reduction and data visualization. (2021)

• Record Type: Book
• Further Information: Note: B.K. Tripathy, Anveshrithaa S, Shrusti Ghela.
• Authors: Tripathy, B. K, 1957-; S., Anveshrithaa; Ghela, Shrusti
• 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
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 001.4226; Information visualization; Data reduction; Machine learning
• Languages: English
• ISBNs: 9781000438451; 9781000438314; 9781003190554
• Related ISBNs: 9781032041018
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.