An improved algorithm for the calculation of exact term discrimination values
Information Processing and Management: an International Journal
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Self-organized formation of topologically correct feature maps
Neurocomputing: foundations of research
Neural networks: algorithms, applications, and programming techniques
Neural networks: algorithms, applications, and programming techniques
Information retrieval
Journal of the American Society for Information Science
A graphical, self-organizing approach to classifying electronic meeting output
Journal of the American Society for Information Science
Map displays for information retrieval
Journal of the American Society for Information Science
Internet browsing and searching: user evaluations of category map and concept space techniques
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Websom for Textual Data Mining
Artificial Intelligence Review - Special issue on data mining on the Internet
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Document organization using Kohonen's algorithm
Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Order-based fitness functions for genetic algorithms applied to relevance feedback
Journal of the American Society for Information Science and Technology
Genetic algorithms in relevance feedback: a second test and new contributions
Information Processing and Management: an International Journal
Self-organizing maps of web spaces based on formal characteristics
Information Processing and Management: an International Journal
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The vectors used in IR, whether to represent the documents or the terms, are high dimensional, and their dimensions increase as one approaches real problems. The algorithms used to manipulate them, however, consume enormously increasing amounts of computational capacity as the said dimension grows. We used the Kohonen algorithm and a fuzzification module to perform a fuzzy clustering of the terms. The degrees of membership obtained were used to represent the terms and, by extension, the documents, yielding a smaller number of components but still endowed with meaning. To test the results, we use a topological classification of sets of transformed and untransformed vectors to check that the same structure underlies both.