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Mendeley readers
Chapter title |
iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment
|
---|---|
Chapter number | 5 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published in |
Lecture notes in computer science, January 2010
|
DOI | 10.1007/978-3-642-13657-3_5 |
Book ISBNs |
978-3-64-213656-6, 978-3-64-213657-3
|
Authors |
Wang, Liang, Nguyen, Uyen T. V., Bezdek, James C., Leckie, Christopher A., Ramamohanarao, Kotagiri, Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher A. Leckie, Kotagiri Ramamohanarao |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 10% |
Cyprus | 1 | 5% |
Unknown | 17 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 45% |
Researcher | 3 | 15% |
Lecturer > Senior Lecturer | 2 | 10% |
Other | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 3 | 15% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 35% |
Engineering | 5 | 25% |
Mathematics | 2 | 10% |
Linguistics | 1 | 5% |
Physics and Astronomy | 1 | 5% |
Other | 1 | 5% |
Unknown | 3 | 15% |