Citation: A. Amato, V. Di Lecce, W. Pedrycz, A Multidimensional Scaling Based GUI To Evaluate Partial Supervision Effects On Prototypes Spatial Localization In Fuzzy Clustering, – JCIS 2007 - 12th International Conference on Fuzzy Theory & Technology, Marriot Salt Lake City, Utah - USA, July 18-24, in Information Sciences 2007, doi:10.1142/9789812709677_0167
Abstract: Nowadays the amount of digitalized images is growing faster than ever. In this paper, we discuss the mechanisms of fuzzy clustering and fuzzy clustering with partial supervision in the analysis and classification of images. These approaches are strongly influenced by some parameters such as fuzzification coefficient and the percentage of labeled images. Aim of this paper is to propose a graphical representation of the inter-prototypes distance obtained using a multidimensional scaling method. The results demonstrate that this representation is strongly related with the obtained classification performance.
Keyword: Fuzzy clustering, image classification