کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
405005 677471 2006 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessing self organizing maps via contiguity analysis
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Assessing self organizing maps via contiguity analysis
چکیده انگلیسی

Contiguity analysis is a straightforward generalization of linear discriminant analysis in which the partition of elements is replaced by a more general graph structure. Applied to the graph induced by a Self Organizing Map (SOM), contiguity analysis provides a set of linear projectors leading to a planar representation as close as possible to the SOM. As expected, such projectors may only concern local parts of the SOMs. They allow us to visualize the shapes of the clusters (convex hulls of the projections of the elements belonging to a cluster) and the pattern of the elements within each cluster. In some contexts, it is possible to project the bootstrap replicates of the elements, and therefore to produce confidence areas for elements via a standard partial bootstrap procedure.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 19, Issues 6–7, July–August 2006, Pages 847–854
نویسندگان
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