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 |
Clustering High-Dimensional Data
|
---|---|
Chapter number | 11 |
Book title |
Machine Learning for Data Science Handbook
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-24628-9_11 |
Book ISBNs |
978-3-03-124627-2, 978-3-03-124628-9
|
Authors |
Houle, Michael E., Kiermeier, Marie, Zimek, Arthur |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 300% |
Germany | 7 | 140% |
United Kingdom | 4 | 80% |
Brazil | 4 | 80% |
Portugal | 3 | 60% |
Chile | 2 | 40% |
China | 2 | 40% |
Japan | 2 | 40% |
Russia | 2 | 40% |
Other | 19 | 380% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 175 | 3500% |
Student > Master | 86 | 1720% |
Researcher | 74 | 1480% |
Student > Bachelor | 31 | 620% |
Student > Doctoral Student | 20 | 400% |
Other | 73 | 1460% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 269 | 5380% |
Engineering | 50 | 1000% |
Agricultural and Biological Sciences | 25 | 500% |
Mathematics | 25 | 500% |
Biochemistry, Genetics and Molecular Biology | 9 | 180% |
Other | 69 | 1380% |