- Tytuł:
- Symulacyjna optymalizacja wyboru procedury klasyfikacyjnej dla danego typu danych – oprogramowanie komputerowe i wyniki badań, s. 120-129
- Autorzy:
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Dudek, Andrzej
Walesiak, Marek - Wydawca:
- Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
- Opis:
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Marek Walesiak
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. - Dostawca treści:
- Repozytorium Centrum Otwartej Nauki
Artykuł