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Clustering web search results using fuzzy ants. (English) Zbl 1115.68021
Summary: Algorithms for clustering Web search results have to be efficient and robust. Furthermore they must be able to cluster a data set without using any kind of a priori information, such as the required number of clusters. Clustering algorithms inspired by the behavior of real ants generally meet these requirements. In this article we propose a novel approach to ant-based clustering, based on fuzzy logic. We show that it improves existing approaches and illustrates how our algorithm can be applied to the problem of Web search results clustering.

68M10 Network design and communication in computer systems
68P10 Searching and sorting
68T05 Learning and adaptive systems in artificial intelligence
AntClust; UCI-ml
Full Text: DOI
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