KNMCluster

Version 1.0.0.0 (2.29 KB) by Timothy Felty
Calculates means and associated clusters from input data.
3.7
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3.1K Downloads
Updated 1 Jan 2008

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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

Cite As

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

MATLAB Release Compatibility
Created with R2006a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
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Acknowledgements

Inspired by: shuffle_orderby

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Version Published Release Notes
1.0.0.0

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