C均值 算法步骤 (1) 任选C个模式特征矢量作为出事聚类中心:Z1,Z2 (2) 将待分类的模式特征矢量集{Xi}中的模式逐个按最小距离原则分化给...
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C均值 算法步骤 (1) 任选C个模式特征矢量作为出事聚类中心:Z1,Z2 (2) 将待分类的模式特征矢量集{Xi}中的模式逐个按最小距离原则分化给C类中的饿某一类 (3) 计算重新分类后的各类心 (4) 如果Zj=Zi则结束,否则K=K+1转至(2) -C means algorithm steps (1) choose C models feature vector as the incident cluster center: Z1, Z2 (2) will be the classification of pattern vectors (Xi) in the model one by one by the minimum distance between the principle of differentiation to the C category a certain category of hungry (3) after calculating the re-classification of various types of heart (4) If Zj = Zi is the end, otherwise K = K+ 1 to (2)
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