蒋代梅, 陈祖荫, 陈传涓. 以拟合优度为基础的两个分类算法及其在癌细胞自动识别中的应用[J]. 北京工业大学学报, 1982, 8(1): 71-84.
    引用本文: 蒋代梅, 陈祖荫, 陈传涓. 以拟合优度为基础的两个分类算法及其在癌细胞自动识别中的应用[J]. 北京工业大学学报, 1982, 8(1): 71-84.
    Jiang Dai-mei, Chen Zu-yin, Chen Chuan-juan. Two Classification Algorithms Based on the Coodness of Fit and Their Application in the Automated Recognition of Cancer Cells[J]. Journal of Beijing University of Technology, 1982, 8(1): 71-84.
    Citation: Jiang Dai-mei, Chen Zu-yin, Chen Chuan-juan. Two Classification Algorithms Based on the Coodness of Fit and Their Application in the Automated Recognition of Cancer Cells[J]. Journal of Beijing University of Technology, 1982, 8(1): 71-84.

    以拟合优度为基础的两个分类算法及其在癌细胞自动识别中的应用

    Two Classification Algorithms Based on the Coodness of Fit and Their Application in the Automated Recognition of Cancer Cells

    • 摘要: 本文提出了集群方法"亦参数分级集群算法"及更为精确的拟合优度判据,并与传统的系统聚类方法进行了对比。将该方法与K一最近邻判决规则结合,提出了用于判别的固定邻域判决算法。全部算法用BCY语言在TQ-16机上实现。处理了细胞图象自动分析数据并取得了有益的结果。

       

      Abstract: In this paper, further discussion on the nonparametric clustering is made, An improved nonparametric classical clustering algorithm and a more accurate criterion based on the goodness of fit are advanced, Combining this method with the K-nearest neighbor decision rule, a fixed neighborhood decision algorithms are realized in the BCY languge on The TQ-16 computer. The cells are divided into classes by the above methods and useful results are achieved.

       

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