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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Language
English
English
Book
Paperback
This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embe...
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Libristo code: 43908044
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240 b
240 b
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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
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
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