Items related to Unsupervised Learning Approaches for Dimensionality...

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization - Softcover

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

 
9781032041032: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Softcover
ISBN 10: 103204103X ISBN 13: 9781032041032
Publisher: CRC Press, 2023

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

B.K. Tripathy, Anveshrithaa Sundareswaran, Shrusti Ghela

"About this title" may belong to another edition of this title.

Publisher
CRC Press
Publication date
2023
Language
English
ISBN 10 
103204103X
ISBN 13 
9781032041032
Binding
Paperback
Edition number
1
Number of pages
160