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Data Complexity in Pattern Recognition

Overview of attention for book
Attention for Chapter 1: Measures of Geometrical Complexity in Classification Problems
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Citations

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Readers on

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33 Mendeley
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Chapter title
Measures of Geometrical Complexity in Classification Problems
Chapter number 1
Book title
Data Complexity in Pattern Recognition
Published by
Springer, London, January 2006
DOI 10.1007/978-1-84628-172-3_1
Book ISBNs
978-1-84628-171-6, 978-1-84628-172-3
Authors

Tin Kam Ho, Mitra Basu, Martin Hiu Chung Law

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Colombia 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Student > Master 6 18%
Student > Bachelor 4 12%
Researcher 3 9%
Student > Doctoral Student 3 9%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Computer Science 11 33%
Engineering 7 21%
Environmental Science 3 9%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 8 24%