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Viac informácií o knihe Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 220 bodov

Anotácia knihy

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.

Parametre knihy

• Celý názov: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
• Podnázov: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
• Autor: Tripathy, B.K. (Vellore Institute of Technology, Vellore, India.), Sundareswaran, Anveshrithaa (Vellore Institute of Technology, India.), Ghela, Shrusti (Vellore Institute of Technology, India.)
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 160
• EAN: 9781032041032
• ID: 43908044
• Nakladateľ: Taylor & Francis Ltd
• Hmotnosť: 453 g
• Rozmery: 234 × 156 mm
• Dátum vydania: 25. September 2023

Obľúbené z iného súdka

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