A Clustering Algorithm of Selecting All Parameters Automatically
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Graphical Abstract
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Abstract
This paper presents a clustering algorithm of K-MEANS method: ASP algorithm. Based on the ISODATA the algorithm improves the CLASS algorithm. All parameters can be selected automatically according to the actual data. Some practical examples of using ASP algorithm are introduced in the paper.
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