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Visualization of Fuzzy Clustering Result in Metric Space
2016
Procedia Computer Science
This paper presents a visualization of a result of fuzzy clustering. The feature of fuzzy clustering is to obtain the degree of belongingness of objects to fuzzy clusters so the result will be more commensurate with reality. In addition, the number of clusters requires less and the solution of the result will be more robust when compared with conventional hard clustering. In contrast, the fuzzy clustering result interpretation tends to be more complicated. Therefore, measuring the similarity
doi:10.1016/j.procs.2016.08.214
fatcat:3ldwuzy2rvdalivjw7tlloa45a