کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
496391 | 862858 | 2011 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Midpoint radius self-organizing maps for interval-valued data with telecommunications application
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
The aim of this paper is to cluster units (objects) described by interval-valued information by adopting an unsupervised neural network approach. By considering a suitable distance measure for interval data, self-organizing maps to deal with interval-valued data are suggested. The technique, called midpoint radius self-organizing maps (MR-SOMs), recovers the underlying structure of interval-valued data by using both the midpoints (or centers) and the radii (a measure of the interval width) information. In order to show how the method MR-SOMs works a suggestive application on telecommunication market segmentation is described.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 5, July 2011, Pages 3877–3886
Journal: Applied Soft Computing - Volume 11, Issue 5, July 2011, Pages 3877–3886
نویسندگان
Pierpaolo D’Urso, Livia De Giovanni,