Advances in Self-Organizing Maps and Learning Vector Quantization
Springer International Publishing
Chapter title |
Functional Representation of Prototypes in LVQ and Relevance Learning
|
---|---|
Chapter number | 28 |
Book title |
Advances in Self-Organizing Maps and Learning Vector Quantization
|
Published by |
Springer, Cham, January 2016
|
DOI | 10.1007/978-3-319-28518-4_28 |
Book ISBNs |
978-3-31-928517-7, 978-3-31-928518-4
|
Authors |
Friedrich Melchert, Udo Seiffert, Michael Biehl |
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 25% |
Professor > Associate Professor | 1 | 25% |
Student > Bachelor | 1 | 25% |
Student > Doctoral Student | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 50% |
Agricultural and Biological Sciences | 1 | 25% |
Engineering | 1 | 25% |