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Mendeley readers
Chapter title |
Cluster Structure of K-means Clustering via Principal Component Analysis
|
---|---|
Chapter number | 50 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2004
|
DOI | 10.1007/978-3-540-24775-3_50 |
Book ISBNs |
978-3-54-022064-0, 978-3-54-024775-3
|
Authors |
Chris Ding, Xiaofeng He |
Mendeley readers
The data shown below were compiled from readership statistics for 485 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 2% |
Germany | 4 | <1% |
France | 4 | <1% |
Spain | 4 | <1% |
Canada | 4 | <1% |
India | 3 | <1% |
Brazil | 3 | <1% |
United Kingdom | 2 | <1% |
Australia | 2 | <1% |
Other | 4 | <1% |
Unknown | 445 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 139 | 29% |
Student > Master | 73 | 15% |
Researcher | 71 | 15% |
Student > Bachelor | 34 | 7% |
Professor > Associate Professor | 21 | 4% |
Other | 77 | 16% |
Unknown | 70 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 147 | 30% |
Engineering | 69 | 14% |
Agricultural and Biological Sciences | 37 | 8% |
Mathematics | 21 | 4% |
Physics and Astronomy | 20 | 4% |
Other | 100 | 21% |
Unknown | 91 | 19% |