Krzysztof Ciesielski, Mieczysław A. Kłopotek:
Text Data Clustering by Contextual Graphs.

In: Proceedings of
Ninth International Conference on Discovery Science (DS-2006), Barcelona, Spain (7th - 10th October 2006), LNAI 4265, 65-76, October 2006
© Springer

In this paper, we focus on the class of graph-based clustering models, such as growing neural gas or idiotypic nets for the purpose of high-dimensional text data clustering. We present a novel approach, which does not require operation on the complex overall graph of clusters, but rather allows to shift majority of effort to context-sensitive, local subgraph and local sub-space processing. Savings of orders of magnitude in processing time and memory can be achieved, while the quality of clusters is improved, as presented experiments demonstrate.



	author = {Krzysztof Ciesielski and Mieczys\law A. K\lopotek},
	title = {Text Data Clustering by Contextual Graphs},
	booktitle = {Proceedings of Ninth International Conference on Discovery Science, Barcelona, Spain (7th--10th October 2006)},
	year = {2006},
	volume = {4265},
	series = {LNAI},
	pages = {65--76},
	url = {}

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