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X Demographics
Mendeley readers
Chapter title |
K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models
|
---|---|
Chapter number | 22 |
Book title |
Advances in Self-Organizing Maps and Learning Vector Quantization
|
Published by |
Springer International Publishing, January 2014
|
DOI | 10.1007/978-3-319-07695-9_22 |
Book ISBNs |
978-3-31-907694-2, 978-3-31-907695-9
|
Authors |
David Nova, Pablo A. Estévez, Pablo Huijse |
Editors |
Thomas Villmann, Frank-Michael Schleif, Marika Kaden, Mandy Lange |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 50% |
Student > Ph. D. Student | 2 | 33% |
Student > Master | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 67% |
Computer Science | 1 | 17% |
Mathematics | 1 | 17% |