AN OVERVIEW OF FREQUENTLY USED ALGORITHMS TO BUILD CLUSTERS
Raluca-Mariana Stefan
Страницы: 163-174
Опубликовано: 1 Jan 2012
Просмотры: 654
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Аннотация: Unsupervised classification of data is a technique used to determine the natural tendency of data to group and can be applied to predict economic phenomena which are, more or less, stable. Therefore, cluster techniques constitute an area of great interest. Unlike the supervised classification, unsupervised classification proposes an optimal partition of feature space in terms of a certain mathematical criterion, without using apriori information (for example, a reference partition). The advantage of these methods is given that is fully automatic and requires no user intervention; it can be used for classification of data for which we do not have information relative to their content (number of classes, the prototype class etc.).
Ключевые слова: data classification, unsupervised learning, cluster analysis, clustering algorithm
Цитировать эту статью: Raluca-Mariana Stefan. AN OVERVIEW OF FREQUENTLY USED ALGORITHMS TO BUILD CLUSTERS. Journal of International Scientific Publications: Materials, Methods & Technologies 6, 163-174 (2012). https://www.scientific-publications.net/en/article/1003204/
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