Constructing Stable Clustering Structure for Uncertain Data Set
Dmitri A. Viattchenin · Acta Electrotechnica et Informatica · 2011
The paper deals with the problem of constructing the stable clustering structure for the uncertain data set.The problem of explaining of stability of the clustering structure in automatic classification of objects for varying attributes values is formulated.The proposed method of the uncertain data clustering is based on heuristic algorithms of possibilistic clustering.Basic concepts of the heuristic approach to possibilistic clustering based on the concept of allotment among fuzzy clusters, a validity measure and techniques of the data preprocessing are considered.A method of constructing the set of values of most possible number of fuzzy clusters for the uncertain data is provided and a technique of constructing the stable clustering structure is proposed.An illustrative example of the proposed technique application to the oil data set is carried out.An analysis of the experimental results is given and preliminary conclusions are formulated.