Self-Organizing Maps
Algorithms to improve topography preservation in self-organizing maps
Algorithms to improve topography preservation in self-organizing maps
Mining massive document collections by the WEBSOM method
Information Sciences: an International Journal - Special issue: Soft computing data mining
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Fast self-organizing feature map algorithm
IEEE Transactions on Neural Networks
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The Chinese Character Browser is a user interface designed for the search and exploration of a database of Chinese characters, Chinese pronunciations (pinyin), and English definitions. The browser uses a technology based upon Kohonen’s self-organizing map to map the 10-dimensional feature vector describing each Chinese character onto a discrete two-dimensional grid, which forms the foundation for the browser. The Chinese Character Browser was designed to demonstrate the importance not only of topology preservation, but topography preservation in such mappings. In brief, to the extent that a mapping is topography-preserving, the structure of the output map grid can reflect the structure of the original data at several levels of granularity simultaneously, allowing the assumption of a hierarchical organization in the output map that corresponds to the structure of the input data set. This can significantly speed up search as well as make the mapping more useful for a variety of applications.