Porównanie dokładności taksonomii spektralnej oraz zagregowanych algorytmów taksonomicznych opartych na idei metody bagging
Comparison of accuracy of spectral clustering and cluster ensembles stability 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. The examples of such solutions can be cluster ensembles or spectral clustering algorithms. The main aim of the article is to compare the accuracy of spectral clustering and cluster ensembles. There will be considered cluster ensembles based on bagging idea [Dudoit, Fridlyand 2003; Hornik 2005; Leisch 1999] and spectral algorithm proposed by Ng et al. [2001].

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