Abstract
In this paper, trend relational algorithm and grey-fuzzy clustering method are presented. A new algorithm for analysis the trend relational between a set of key point data with a set of prototypes is proposed. Trend relational grade can be used to divide cluster by fuzzy method. The researched results can open new prospects for the development and application of systems methodology to clustering.
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