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Mendeley readers
Chapter title |
An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory
|
---|---|
Chapter number | 23 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2002
|
DOI | 10.1007/3-540-47887-6_23 |
Book ISBNs |
978-3-54-043704-8, 978-3-54-047887-4
|
Authors |
Chien-Yu Chen, Shien-Ching Hwang, Yen-Jen Oyang |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Turkey | 1 | 3% |
United States | 1 | 3% |
France | 1 | 3% |
Unknown | 29 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 30% |
Student > Bachelor | 4 | 12% |
Student > Doctoral Student | 4 | 12% |
Professor > Associate Professor | 4 | 12% |
Student > Master | 3 | 9% |
Other | 5 | 15% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 58% |
Medicine and Dentistry | 3 | 9% |
Engineering | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Psychology | 1 | 3% |
Other | 3 | 9% |
Unknown | 4 | 12% |