A toolbox for fuzzy clustering using the R programming language

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• 作者：Maria Brigida Ferraro ; ^{mariabrigida.ferraro@uniroma1.it" class="auth_mail" title="E-mail the corresponding author} ; Paolo Giordani ^{paolo.giordani@uniroma1.it" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Clustering ; Fuzzy approach ; R ; fclust
• 刊名：Fuzzy Sets and Systems
• 出版年：2015
• 出版时间：15 November 2015
• 年：2015
• 卷：279
• 期：Complete
• 页码：1-16
• 全文大小：442 K

文摘

Fuzzy clustering is used extensively in several domains of research. In the literature, starting from the well-known fuzzy k-means (fkm) clustering algorithm, an increasing number of papers devoted to fkm and its extensions can be found. Nevertheless, a lack of the related software for implementing these algorithms can be observed preventing their use in practice. Even the standard fkm is not necessarily available in the most common software. For this purpose, a new toolbox for fuzzy clustering using the R programming language is presented by examples. The toolbox, called fclust, contains a suit of fuzzy clustering algorithms, fuzzy cluster validity indices and visualization tools for fuzzy clustering results.