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Advances in Principal Component Analysis

Overview of attention for book
Attention for Chapter 9: Application and Extension of PCA Concepts to Blind Unmixing of Hyperspectral Data with Intra-class Variability
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Citations

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Chapter title
Application and Extension of PCA Concepts to Blind Unmixing of Hyperspectral Data with Intra-class Variability
Chapter number 9
Book title
Advances in Principal Component Analysis
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6704-4_9
Book ISBNs
978-9-81-106703-7, 978-9-81-106704-4
Authors

Yannick Deville, Charlotte Revel, Véronique Achard, Xavier Briottet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Business, Management and Accounting 1 20%
Engineering 1 20%
Unknown 1 20%