This paper presents a new approach to pattern classification. Two methods are combined, namely a graphical interactive method involving the motion of an observer in a multidimensional space and the Iterative Adjustments About Mobile Centers. The former method transforms the multi dimensional space into a bidimensional space allowing the visualisation of clusters. In case of overlapping data, when a user is not capable of decision- making, the Iterative Adjustments About Mobile Centers for an automatic problem-solving can be introduced.
Pattern classification, pattern recognition, cluster ing, automatic classification, data analysis
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