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    Research on the Clustering Analysis and Similarity in Factor Space

    Sha-Sha Li1,2,∗, Tie-Jun Cui1,2,3,†, Jian Liu1,2,‡

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 397-404, 2018, DOI:10.32604/csse.2018.33.397

    Abstract In this paper, we study the in uence of multiple domain attributes on the clustering analysis of object based on factor space. The representation method of graphical domain attribute is proposed for the object, which is called attribute circle. An attribute circle can represent infinite domain attributes. The similarity analysis of objects is first based on the concept of attribute circle, and the definition of graphical similarity is transformed into the definition of numerical similarity, and then the clustering analysis method of object set is studied and improved. Considering three kinds of graphical overlap, the analytic solution of similarity is… More >

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