@misc{Walesiak_Marek_Symulacyjna_2006,
 author={Walesiak, Marek and Dudek, Andrzej},
 year={2006},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 description={Prace Naukowe Akademii Ekonomicznej we Wrocławiu. Taksonomia (13); 2006; nr 1126, s. 120-129},
 publisher={Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu},
 language={pol},
 abstract={In typical cluster analysis study eight major steps are distinguished (see Milligan [1996, 342 343]; Walesiak [2005]). Four of them represent the critical steps: decisions concerning variable normalisation formula, selection of a distance measure, selection of clustering method, determining the number of clusters. The article presents: a) determination of optimal clustering procedure for a data set by varying all combinations of normalization formulas, distance measures, and clustering methods. Nine paths of simulation was separated depends on variable scale of measurement in a data set; b) clusterSim computer program written in R and C++ languages; c) some empirical results of simulation study based on data matrix with growing number of objects and variables.},
 type={artykuł},
 title={Symulacyjna optymalizacja wyboru procedury klasyfikacyjnej dla danego typu danych - oprogramowanie komputerowe i wyniki badań},
}