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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Engelsk
Bogcover for Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization af Anveshrithaa Sundareswaran, B.K. Tripathy, Shrusti Ghela, 9781032041032
Specifikationer
Sprog:
Engelsk
Sider:
160
ISBN-13:
9781032041032
Indbinding:
Paperback
ISBN-10:
103204103X
Udg. Dato:
25 sep 2023
Størrelse i cm:
23,4 x 15,6
Oplagsdato:
25 sep 2023

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Engelsk
Paperback 2023
Format:

Bog beskrivelse

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.

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    Specifikationer
    Sprog:
    Engelsk
    Sider:
    160
    ISBN-13:
    9781032041032
    Indbinding:
    Paperback
    ISBN-10:
    103204103X
    Udg. Dato:
    25 sep 2023
    Størrelse i cm:
    23,4 x 15,6
    Oplagsdato:
    25 sep 2023
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