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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Hardcover

Business GeneralDatabasesGeneral Computers

ISBN10: 1032041013
ISBN13: 9781032041018
Publisher: CRC Press
Published: Sep 2 2021
Pages: 160
Weight: 0.94
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English
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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Business General