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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization Tripathy, B.K. (Vellore Institute of Technology, Vellore, India.) 1. izdevums
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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2021. gada 2. septembris |
| ISBN13 | 9781032041018 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 160 |
| Izmēri | 150 × 220 × 20 mm · 480 g |
| Valoda | Angļu |
