KNMCluster

Versión 1.0.0.0 (2,29 KB) por Timothy Felty
Calculates means and associated clusters from input data.
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Actualizado 1 ene 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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2006a
Compatible con cualquier versión
Compatibilidad con las plataformas
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Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: shuffle_orderby

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Versión Publicado Notas de la versión
1.0.0.0

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