Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization - Couverture rigide

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

 
9781032041018: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Couverture rigide
ISBN 10 : 1032041013 ISBN 13 : 9781032041018
Editeur : CRC Press, 2021

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

B.K. Tripathy, Anveshrithaa Sundareswaran, Shrusti Ghela

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
CRC Press
Date d'édition
2021
Langue
anglais
ISBN 10 
1032041013
ISBN 13 
9781032041018
Reliure
Relié
Nombre de pages
174
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9781032041032: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization

Edition présentée

ISBN 10 :  103204103X ISBN 13 :  9781032041032
Editeur : CRC Press, 2023
Couverture souple