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Partitional Clustering Algorithms

Overview of attention for book
Attention for Chapter 7: Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering
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1 X user
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6 patents

Citations

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83 Dimensions

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119 Mendeley
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Chapter title
Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering
Chapter number 7
Book title
Partitional Clustering Algorithms
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-09259-1_7
Book ISBNs
978-3-31-909258-4, 978-3-31-909259-1
Authors

Da Kuang, Jaegul Choo, Haesun Park, Kuang, Da, Choo, Jaegul, Park, Haesun

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 118 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Student > Master 18 15%
Researcher 13 11%
Student > Bachelor 8 7%
Other 7 6%
Other 15 13%
Unknown 33 28%
Readers by discipline Count As %
Computer Science 52 44%
Engineering 9 8%
Mathematics 3 3%
Agricultural and Biological Sciences 2 2%
Business, Management and Accounting 2 2%
Other 15 13%
Unknown 36 30%