Publication details

Some Useful Techniques of Clustering/Categorization

Authors

ALEXANDROV Mikhail MAKAGONOV Pavel ŽIŽKA Jan

Year of publication 2008
Type Article in Proceedings
Conference Social Networks and the Application Tools
Citation
web http://sonet.webnode.cz/
Keywords social networks, machine learning, artificial intelligence, environment, IBM, applied mathematics, natural language processing, ecology, Internet, health care
Description Grouping data is one of the key procedures, which is used in numerous applications for structuring data, searching data and knowledge extraction from databases. In the paper consider 3 types of grouping: clustering, categorization and so-called ‘semi-clustering/semi-categorization’. We study both traditional and some new methods of grouping data, which may be useful for practical investigations. The paper is a short review for students.

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