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 |
Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs
|
---|---|
Chapter number | 47 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2008
|
DOI | 10.1007/978-3-540-68125-0_47 |
Book ISBNs |
978-3-54-068124-3, 978-3-54-068125-0
|
Authors |
Nicolas Delannay, Cédric Archambeau, Michel Verleysen, Delannay, Nicolas, Archambeau, Cédric, Verleysen, Michel |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 8% |
Unknown | 12 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 62% |
Student > Bachelor | 1 | 8% |
Researcher | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 23% |
Engineering | 2 | 15% |
Unspecified | 1 | 8% |
Business, Management and Accounting | 1 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Other | 2 | 15% |
Unknown | 3 | 23% |