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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization Tripathy, B.K. (Vellore Institute of Technology, Vellore, India.) 1st edition
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Tripathy, B.K. (Vellore Institute of Technology, Vellore, India.)
This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embedding, t-SNE to resolve the problem of dimensionality reduction in case of non-linear relationships within the data. Underlying mathematical concepts, derivations, proofs, strengths and limitations of these algorithms are discussed as well.
216 pages, 46 Line drawings, black and white; 46 Illustrations, black and white
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 2, 2021 |
| ISBN13 | 9781032041018 |
| Publishers | Taylor & Francis Ltd |
| Pages | 160 |
| Dimensions | 150 × 220 × 20 mm · 480 g |
| Language | English |