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Mendeley readers
Chapter title |
Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers
|
---|---|
Chapter number | 24 |
Book title |
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
|
Published by |
Springer, Cham, June 2019
|
DOI | 10.1007/978-3-030-19642-4_24 |
Book ISBNs |
978-3-03-019641-7, 978-3-03-019642-4
|
Authors |
David N. Coelho, Guilherme A. Barreto, Coelho, David N., Barreto, Guilherme A. |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 25% |
Student > Doctoral Student | 1 | 13% |
Student > Master | 1 | 13% |
Unknown | 4 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 13% |
Materials Science | 1 | 13% |
Unknown | 6 | 75% |