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Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach Sylvain Lespinats 2022 edition
Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach
Sylvain Lespinats
This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and developing new ones. This book reviews existing techniques for visual data exploration and dimensionality reduction such as tSNE and Isomap, and proposes new solutions to challenges in that field.
247 pages, 88 Illustrations, color; 12 Illustrations, black and white; XLIII, 247 p. 100 illus., 88
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 4. decembris |
| ISBN13 | 9783030810283 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 247 |
| Izmēri | 150 × 220 × 10 mm · 450 g |
| Valoda | Vācu |