问题描述
我有大量矩阵形式的数据.我已经在 MATLAB R2013a 中使用 k 均值聚类对其进行了聚类.我想要形成的每个簇的质心的确切坐标..是否可以使用任何公式或其他任何东西?
I have a very large amount of data in the form of matrix.I have already clustered it using k-means clustering in MATLAB R2013a. I want the exact coordinates of the centroid of each cluster formed.. Is it possible using any formula or anything else?
我想找出每个簇的质心，这样每当有新数据到达矩阵时，我就可以计算它与每个质心的距离，从而找出新数据所属的簇
I want to find out the centroid of each cluster so that whenever some new data arrives in matrix, i can compute its distance from each centroid so as to find out the cluster to which new data will belong
我的数据本质上是异构的.所以，很难找出每个集群的数据的平均值.所以，我正在尝试编写一些代码来自动打印质心位置.
My data is heterogeneous in nature.So,its difficult to find out average of data of each cluster.So, i am trying to write some code for printing the centroid location automatically.
推荐答案
在 MATLAB 中，使用
In MATLAB, use
[idx,C] = kmeans(..)
代替
idx = kmeans(..)
根据文档:
[idx,C] = kmeans(..) 返回 k×p 矩阵 C 中的 k 个簇质心位置.
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