کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407107 678128 2010 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Probabilistic self-organizing maps for qualitative data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Probabilistic self-organizing maps for qualitative data
چکیده انگلیسی

We present a self-organizing map model to study qualitative data (also called categorical data). It is based on a probabilistic framework which does not assume any prespecified distribution of the input data. Stochastic approximation theory is used to develop a learning rule that builds an approximation of a discrete distribution on each unit. This way, the internal structure of the input dataset and the correlations between components are revealed without the need of a distance measure among the input values. Experimental results show the capabilities of the model in visualization and unsupervised learning tasks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 23, Issue 10, December 2010, Pages 1208–1225
نویسندگان
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