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Proceedings Paper

PathSOM: a novel visual-spatial search strategy
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Paper Abstract

In this paper, we propose an efficient similarity search system PathSOM that combines Self-Organizing Map (SOM) and Pathfinder Networks (PFNET). In the front end of the system, SOM is applied to cluster the original data vectors and construct a visual map of the data. The Pathfinder network then organizes the SOM map units in the form of a graph to yield a framework for an improved search to find the best matching map unit. The ability of PathSOM approach for efficient searches is demonstrated through well-known data sets.

Paper Details

Date Published: 23 February 2005
PDF: 11 pages
Proc. SPIE 5673, Applications of Neural Networks and Machine Learning in Image Processing IX, (23 February 2005); doi: 10.1117/12.587713
Show Author Affiliations
Dingguo Chen, Oakland Univ. (United States)
Ishwar K. Sethi, Oakland Univ. (United States)


Published in SPIE Proceedings Vol. 5673:
Applications of Neural Networks and Machine Learning in Image Processing IX
Nasser M. Nasrabadi; Syed A. Rizvi, Editor(s)

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