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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Conceptual Clustering
verfasst von : Abdoulahi Boubacar, Zhendong Niu
Erschienen in: Future Information Technology
Verlag: Springer Berlin Heidelberg
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Traditional clustering methods are unable to describe the generated clusters. Conceptual clustering is an important and active research area that aims to efficiently cluster and explain the data. Previous conceptual clustering approaches provide descriptions that do not use a human comprehensible knowledge. This paper presents an algorithm which uses Wikipedia concepts to process a clustering method. The generated clusters overlap each other and serve as a basis for an information retrieval system. The method has been implemented in order to improve the performance of the system. It reduces the computation cost.