Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents two methods based on self-organized dissimilarity. The first is an implemented fuzzy clustering and the second is a hybrid method of fuzzy clustering and multidimensional scaling (MDS). Specifically, a self-organized dissimilarity is defined that uses the result of fuzzy clustering in such a way that the dissimilarity of objects is influenced by the dissimilarity of the classification situations corresponding to the objects. In other words, the dissimilarity is defined under an assumption that similar objects have similar classification structures. Through empirical evaluation the proportion and the fitness of the results of the method, which uses MDS combined with fuzzy clustering, is shown to be effective in real data. Furthermore, by exploiting the self-organized similarity, defuzzification of fuzzy clustering can cope with the inherent classification structures
['Mika Sato-Ilic', 'Tomoyuki Kuwata']
I am writing a research paper on a idea On Fuzzy Clustering Based Self-Organized Methods
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