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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization - Hardcover

Tripathy, B. K.; Sundareswaran, Anveshrithaa; Ghela, Shrusti

 
9781032041018: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Hardcover
ISBN 10: 1032041013 ISBN 13: 9781032041018
Verlag: CRC Press, 2021

Inhaltsangabe

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts, derivations, and proofs with logical explanations for these algorithms are discussed, including strengths and limitations. The book highlights important use cases of these algorithms and provides examples along with visualizations. Comparative study of the algorithms is presented to give a clear idea on selecting the best suitable algorithm for a given dataset for efficient dimensionality reduction and data visualization.

FEATURES

  • Demonstrates how unsupervised learning approaches can be used for dimensionality reduction

  • Neatly explains algorithms with a focus on the fundamentals and underlying mathematical concepts

  • Describes the comparative study of the algorithms and discusses when and where each algorithm is best suitable for use

  • Provides use cases, illustrative examples, and visualizations of each algorithm

    • Helps visualize and create compact representations of high dimensional and intricate data for various real-world applications and data analysis

    • This book is aimed at professionals, graduate students, and researchers in Computer Science and Engineering, Data Science, Machine Learning, Computer Vision, Data Mining, Deep Learning, Sensor Data Filtering, Feature Extraction for Control Systems, and Medical Instruments Input Extraction.

    Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Über die Autorin bzw. den Autor

    B.K. Tripathy, Anveshrithaa Sundareswaran, Shrusti Ghela

    „Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Verlag
    CRC Press
    Erscheinungsdatum
    2021
    Sprache
    Englisch
    ISBN 10 
    1032041013
    ISBN 13 
    9781032041018
    Einband
    Gebundene Ausgabe
    Anzahl der Seiten
    160
    Kontakt zum Hersteller
    Nicht verfügbar
    Verantwortliche Person
    Taylor & Francis Verlag GmbH
    GPSR@taylorandfrancis.com

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