kmeans-ISODATA algotithm
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The zip file includes two functions: kmedia.mat and isodata.mat, this functions do two types of clustering methods. Kmedia function do the k-means algorithm, it have tree inputs (X-vector, Y-vector and number of final clusters) and returns the elements of each cluster and the centre of each cluster. Isodata function returns the same result but, have more inputs, necessary for the ISODATA algorithm.
Son dos funciones, 'kmedia' e 'isodata', dichas funciones realizan los algoritmos de clustering de las 'k-medias' e 'ISODATA'. Dichas funciones toman como entrada el vector de puntos y unos determinados parámetros y devuelven los agrupamientos encontrados y sus centroides.
Cite As
Jose Rodriguez (2024). kmeans-ISODATA algotithm (https://www.mathworks.com/matlabcentral/fileexchange/5324-kmeans-isodata-algotithm), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection >
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Acknowledgements
Inspired: ISODATA algorithm, ISODATA segmentation --- A modification to "Jose Suau Rodriguez" code (isodata.m)
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Version | Published | Release Notes | |
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1.0.0.0 |