Customized K-Means

バージョン (1.74 KB) 作成者: Nirmal
Customized K-means where you can choose different initial cluster centroid.
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更新 2012/7/16


My implementation of K means algorithm is customized for different need. Initial cluster centroid can be selected in various of ways. Those are:
• Randomly initialized cluster centroid as one of the data row.
• Select first 3 data row was the three cluster center.
• Provide the cluster centroid as a parameter, it is specially helpful when you want to perform the cluster with the same initial data centers so that we don’t have to worry about K means naming different to the same cluster in different run.


Nirmal (2024). Customized K-Means (, MATLAB Central File Exchange. 取得済み .

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