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Mendeley readers
Chapter title |
Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy
|
---|---|
Chapter number | 2 |
Book title |
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
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Published by |
Springer, Cham, May 2019
|
DOI | 10.1007/978-3-030-20055-8_2 |
Book ISBNs |
978-3-03-020054-1, 978-3-03-020055-8
|
Authors |
Iratxe Niño-Adan, Itziar Landa-Torres, Eva Portillo, Diana Manjarres, Niño-Adan, Iratxe, Landa-Torres, Itziar, Portillo, Eva, Manjarres, Diana |
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 % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 1 | 20% |
Researcher | 1 | 20% |
Student > Doctoral Student | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 40% |
Mathematics | 1 | 20% |
Unknown | 2 | 40% |