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Chapter title |
DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking
|
---|---|
Chapter number | 16 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published in |
Lecture notes in computer science, April 2006
|
DOI | 10.1007/11731139_16 |
Book ISBNs |
978-3-54-033206-0, 978-3-54-033207-7
|
Authors |
Elke Achtert, Christian Böhm, Peer Kröger |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
Taiwan | 1 | 1% |
South Africa | 1 | 1% |
Belgium | 1 | 1% |
Australia | 1 | 1% |
Unknown | 65 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 38% |
Student > Master | 16 | 22% |
Researcher | 11 | 15% |
Student > Bachelor | 7 | 10% |
Other | 3 | 4% |
Other | 5 | 7% |
Unknown | 3 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 33 | 46% |
Engineering | 10 | 14% |
Agricultural and Biological Sciences | 7 | 10% |
Mathematics | 5 | 7% |
Physics and Astronomy | 5 | 7% |
Other | 9 | 13% |
Unknown | 3 | 4% |