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A parallel growing architecture for self-organizing maps with unsupervised learning

Overview of attention for article published in Neurocomputing, October 2005
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29 Mendeley
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Article details
Title
A parallel growing architecture for self-organizing maps with unsupervised learning
Published in
Neurocomputing, October 2005
DOI 10.1016/j.neucom.2004.11.025
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 2 7%
United States 1 3%
Iran, Islamic Republic of 1 3%
Colombia 1 3%
Unknown 24 83%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Student > Doctoral Student 3 10%
Student > Bachelor 3 10%
Researcher 3 10%
Student > Master 2 7%
Other 5 17%
Unknown 6 21%
Readers by discipline
Readers by discipline Count As %
Computer Science 11 38%
Agricultural and Biological Sciences 2 7%
Mathematics 1 3%
Business, Management and Accounting 1 3%
Earth and Planetary Sciences 1 3%
Other 4 14%
Unknown 9 31%