Porównanie dokładności taksonomicznej metody propagacji podobieństwa oraz zagregowanych algorytmów taksonomicznych opartych na idei metody bagging
Comparison of accuracy of affinity propagation clustering and cluster ensembles based on bagging idea

Summary/Abstract: High accuracy of the results is a very important task in any grouping problem (clustering). Therefore in the literature there are proposed methods and solutions that main aim is to give more accurate results than traditional clustering algorithms. Examples of such solutions can be cluster ensembles or affinity propagation method. The main aim of the article is to compare the accuracy of these two approaches. There will be considered cluster ensembles based on bagging idea [Dudoit, Fridlyand 2003; Hornik 2005; Leisch 1999] and affinity propagation method proposed by Frey and Dueck [2007].

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