k-means clustering algorithm

Versione 1.0.0.0 (3,76 KB) da Craig
Performs one step of the k-means clustering algorithm
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Aggiornato 16 lug 2012

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Input image must be a nxm binary image and the initial guess of where the averages of the clusters are must be a px2 array with each row representing the row and column value of each initial cluster average guess.

An example m file is provided to illustrate its use.

Cita come

Craig (2025). k-means clustering algorithm (https://it.mathworks.com/matlabcentral/fileexchange/37503-k-means-clustering-algorithm), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2007a
Compatibile con qualsiasi release
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kmean/

Versione Pubblicato Note della release
1.0.0.0