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Mendeley readers
Chapter title |
k-MM: A Hybrid Clustering Algorithm Based on k-Means and k-Medoids
|
---|---|
Chapter number | 4 |
Book title |
Advances in Nature and Biologically Inspired Computing
|
Published by |
Springer, Cham, January 2016
|
DOI | 10.1007/978-3-319-27400-3_4 |
Book ISBNs |
978-3-31-927399-0, 978-3-31-927400-3
|
Authors |
Habiba Drias, Nadjib Fodil Cherif, Amine Kechid, Drias, Habiba, Cherif, Nadjib Fodil, Kechid, Amine |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 2 | 18% |
Unspecified | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Student > Bachelor | 1 | 9% |
Other | 1 | 9% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 36% |
Unspecified | 1 | 9% |
Agricultural and Biological Sciences | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 4 | 36% |