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Principal Manifolds for Data Visualization and Dimension Reduction

Overview of attention for book
Attention for Chapter 10: Diffusion Maps - a Probabilistic Interpretation for Spectral Embedding and Clustering Algorithms
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114 Mendeley
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Chapter title
Diffusion Maps - a Probabilistic Interpretation for Spectral Embedding and Clustering Algorithms
Chapter number 10
Book title
Principal Manifolds for Data Visualization and Dimension Reduction
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-73750-6_10
Book ISBNs
978-3-54-073749-0, 978-3-54-073750-6
Authors

Boaz Nadler, Stephane Lafon, Ronald Coifman, Ioannis G. Kevrekidis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
France 2 2%
Germany 2 2%
Vietnam 1 <1%
Brazil 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Cuba 1 <1%
Saudi Arabia 1 <1%
Other 3 3%
Unknown 95 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 28%
Student > Ph. D. Student 30 26%
Professor > Associate Professor 11 10%
Student > Master 9 8%
Professor 8 7%
Other 14 12%
Unknown 10 9%
Readers by discipline Count As %
Computer Science 31 27%
Engineering 21 18%
Mathematics 16 14%
Agricultural and Biological Sciences 10 9%
Physics and Astronomy 6 5%
Other 19 17%
Unknown 11 10%