Self-Organizing Maps
A new Bayesian tree learning method with reduced time and space complexity
Fundamenta Informaticae
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Text data clustering by contextual graphs
DS'06 Proceedings of the 9th international conference on Discovery Science
An immune network for contextual text data clustering
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Contextual adaptive clustering of web and text documents with personalization
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Term distribution-based initialization of fuzzy text clustering
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
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We present a novel approach to the growing neural gas (GNG). based clustering of the high-dimensional text data. We enhance our Contextual GNG models (proposed previously to shift the majority of calculations to context-sensitive, local sub-graphs and local sub-spaces and so to reduce computational complexity) by developing a new, histogram-based method for incremental model adaptation and evaluation of its stability.