You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Interactive Knowledge-Based Kernel PCA
|
---|---|
Chapter number | 32 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer Berlin Heidelberg, September 2014
|
DOI | 10.1007/978-3-662-44851-9_32 |
Book ISBNs |
978-3-66-244850-2, 978-3-66-244851-9
|
Authors |
Dino Oglic, Daniel Paurat, Thomas Gärtner |
Editors |
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 6% |
Belgium | 1 | 6% |
Unknown | 15 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 35% |
Researcher | 4 | 24% |
Professor | 1 | 6% |
Other | 1 | 6% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 59% |
Physics and Astronomy | 1 | 6% |
Chemistry | 1 | 6% |
Unknown | 5 | 29% |