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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization Tripathy
Libristo kod: 43908044
Nakladnici Taylor & Francis Ltd, rujan 2023
This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embe... Cijeli opis
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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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Informacije o knjizi

Puni naziv 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.)
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2023
Broj stranica 160
EAN 9781032041032
Libristo kod 43908044
Nakladnici Taylor & Francis Ltd
Težina 453
Dimenzije 156 x 234

Kategorija

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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