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Mendeley readers
Chapter title |
Kullback-Leibler Divergence for Nonnegative Matrix Factorization
|
---|---|
Chapter number | 31 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2011
|
Published by |
Springer, Berlin, Heidelberg, June 2011
|
DOI | 10.1007/978-3-642-21735-7_31 |
Book ISBNs |
978-3-64-221734-0, 978-3-64-221735-7
|
Authors |
Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja, Yang, Zhirong, Zhang, He, Yuan, Zhijian, Oja, Erkki |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 2 | 3% |
United States | 2 | 3% |
Germany | 1 | 1% |
France | 1 | 1% |
Korea, Republic of | 1 | 1% |
India | 1 | 1% |
Malaysia | 1 | 1% |
China | 1 | 1% |
Belgium | 1 | 1% |
Other | 2 | 3% |
Unknown | 54 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 48% |
Student > Master | 9 | 13% |
Researcher | 7 | 10% |
Student > Bachelor | 6 | 9% |
Student > Doctoral Student | 3 | 4% |
Other | 6 | 9% |
Unknown | 4 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 31% |
Engineering | 15 | 22% |
Mathematics | 8 | 12% |
Agricultural and Biological Sciences | 5 | 7% |
Neuroscience | 3 | 4% |
Other | 9 | 13% |
Unknown | 6 | 9% |