KNMCluster

版本 1.0.0.0 (2.3 KB) 作者: Timothy Felty
Calculates means and associated clusters from input data.
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更新时间 2008/1/1

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Usage: [means,c]=KNMCluster(k,indata)

KNMCluster is an implementation of the K-means clustering algorithm. It takes inputs k and indata. k is the initial guess of the number of clusters.

indata is the aggregate data that you want to put into clusters.

The returned value "means" are the eturned means of the final clusters.

c is a structure with fields Clust1, Clust2, and so on for each of the k means.

Notes: This program makes use of Sara Silva's program shuffle found here on Mathworks. I would like to thank her for this nice little utility, it saved me some time which is always nice.

Tim Felty, fistandantilus1@hotmail.com

引用格式

Timothy Felty (2024). KNMCluster (https://www.mathworks.com/matlabcentral/fileexchange/6291-knmcluster), MATLAB Central File Exchange. 检索来源 .

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创建方式 R2006a
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致谢

参考作品: shuffle_orderby

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版本 已发布 发行说明
1.0.0.0

Refactored the code to handle more dimensions, also allows for more than 6 dimensions now.