A toolbox for fuzzy clustering using the R programming language
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| Authors | Maria Brigida Ferraro, Paolo Giordani |
| Journal/Conference Name | Fuzzy Sets and Systems |
| Paper Category | Other |
| Paper Abstract | Fuzzy clustering is used extensively in several domains of research. In the literature, starting from the well-known fuzzy k -means (f k m) clustering algorithm, an increasing number of papers devoted to f k m 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 f k m 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. |
| Date of publication | 2015 |
| Code Programming Language | R |
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