PathSOM: a novel visual-spatial search strategy

Dingguo Chen; Ishwar K. Sethi

doi:10.1117/12.587713

23 February 2005 PathSOM: a novel visual-spatial search strategy

Dingguo Chen, Ishwar K. Sethi

Proceedings Volume 5673, Applications of Neural Networks and Machine Learning in Image Processing IX; (2005) https://doi.org/10.1117/12.587713
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Dingguo Chen and Ishwar K. Sethi "PathSOM: a novel visual-spatial search strategy", Proc. SPIE 5673, Applications of Neural Networks and Machine Learning in Image Processing IX, (23 February 2005); https://doi.org/10.1117/12.587713

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