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

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.