文件名称:Kmeans
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- 上传时间:2012-11-16
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文件大小:4.78kb
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Kmeans 算法是聚类分析中使用最为广泛的算法之一,其每个类别均用该类中所有数据的平均值(或加权平均)来表示,这个平均值即被称作聚类中心。该方法虽然不能用于
类别属性的数据,但对于数值属性的数据,它能很好地体现聚类在几何和统计学上的意义。-Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used
The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.
类别属性的数据,但对于数值属性的数据,它能很好地体现聚类在几何和统计学上的意义。-Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used
The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.
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下载文件列表
Kmeans聚类算法/kmeans.asv
Kmeans聚类算法/kmeans.m
Kmeans聚类算法/kmeans0.m
Kmeans聚类算法
Kmeans聚类算法/kmeans.m
Kmeans聚类算法/kmeans0.m
Kmeans聚类算法
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