文件名称:K_means
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采用K_means聚类,得到五个核,然后五个用data套进去,可以得到5个矩阵。这个五个矩阵就是根据聚类获得的。成功,且有效。首先运行K_means.m,然后再运行yanshi.m。可以得到效果图。data数据也一并给出-K_means use clustering to obtain nuclear five, then five with data sets in, you can get 5 matrix. This matrix is based on five clusters obtained. Successful and effective. First run K_means.m, then run yanshi.m. You can get renderings. data data is also to be given
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下载文件列表
K_means聚类/centerInitialize.m
K_means聚类/centerNumSumInitialize.m
K_means聚类/data.mat
K_means聚类/dataNormalize.m
K_means聚类/datasset.m
K_means聚类/edistanceCalculate.m
K_means聚类/indexNumberInitialize.m
K_means聚类/inputDataMarked.m
K_means聚类/K_means.m
K_means聚类/yanshi.m
K_means聚类/说明.txt
K_means聚类
K_means聚类/centerNumSumInitialize.m
K_means聚类/data.mat
K_means聚类/dataNormalize.m
K_means聚类/datasset.m
K_means聚类/edistanceCalculate.m
K_means聚类/indexNumberInitialize.m
K_means聚类/inputDataMarked.m
K_means聚类/K_means.m
K_means聚类/yanshi.m
K_means聚类/说明.txt
K_means聚类
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