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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Language EnglishEnglish
Book Paperback
Book Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization Tripathy
Libristo code: 43908044
Publishers Taylor & Francis Ltd, September 2023
This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embe... Full description
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95.09 €
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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.

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About the book

Full name Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Author Tripathy, B.K. (Vellore Institute of Technology, Vellore, India.), Sundareswaran, Anveshrithaa (Vellore Institute of Technology, India.), Ghela, Shrusti (Vellore Institute of Technology, India.)
Language English
Binding Book - Paperback
Date of issue 2023
Number of pages 160
EAN 9781032041032
Libristo code 43908044
Publishers Taylor & Francis Ltd
Weight 453
Dimensions 156 x 234

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Economics, Finance, Business & Management > Economics > Econometrics & economic statistics
Mathematics & Science > Mathematics > Probability & statistics
Technology, Engineering, Agriculture > Environmental science, engineering & technology
Computing & Information Technology > Databases
Computing & Information Technology > Computer science
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