Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Springer International Publishing
Title |
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
|
---|---|
Published by |
arXiv, July 2019
|
DOI | 10.1007/978-3-030-19642-4 |
ISBNs |
978-3-03-019641-7, 978-3-03-019642-4
|
Authors |
Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer |
Editors |
Vellido, Alfredo, Gibert, Karina, Angulo, Cecilio, Martín Guerrero, José David |
Country | Count | As % |
---|---|---|
Germany | 3 | 15% |
United States | 2 | 10% |
India | 1 | 5% |
Canada | 1 | 5% |
Spain | 1 | 5% |
France | 1 | 5% |
Netherlands | 1 | 5% |
Japan | 1 | 5% |
Unknown | 9 | 45% |
Type | Count | As % |
---|---|---|
Members of the public | 14 | 70% |
Scientists | 5 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 43% |
Professor | 1 | 7% |
Other | 1 | 7% |
Researcher | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 0 | 0% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 50% |
Mathematics | 1 | 7% |
Engineering | 1 | 7% |
Unknown | 5 | 36% |