KNMCluster

Version 1.0.0.0 (2,29 KB) von Timothy Felty
Calculates means and associated clusters from input data.
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3,1K Downloads
Aktualisiert 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

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2006a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Mehr zu Statistics and Machine Learning Toolbox finden Sie in Help Center und MATLAB Answers
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Inspiriert von: shuffle_orderby

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Version Veröffentlicht Versionshinweise
1.0.0.0

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