A STUDY OVER THE MAIN METHODS USED IN CLUSTER ANALYSIS
Raluca-Mariana Stefan
Strony: 202-209
Opublikowano: 1 Jan 2013
Wyświetlenia: 227 Pobrania: 17
Streszczenie: These days, almost every domain involves work with data categorization and has to apply at least one of the procedures to group diverse and heterogeneous information provided by extremely large amounts of digital data. Clustering is adequate if the low level of data homogeneity is considered along with the lack of labeled samples. Grouping a lot of data using cluster analysis constitutes an exploratory technique of obtaining relevant information for the specialists that can use this knowledge to make appropriate and correct decisions for short term or long term in order to increase their prediction performances.
Słowa kluczowe: clustering, data representation, data characterization, clustering algorithm, prediction
Cytowanie artykułu: Raluca-Mariana Stefan. A STUDY OVER THE MAIN METHODS USED IN CLUSTER ANALYSIS. Journal of International Scientific Publications: Materials, Methods & Technologies 7, 202-209 (2013). https://www.scientific-publications.net/en/article/1003103/
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