K-means: Revision history

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19 March 2023

  • curprev 15:4615:46, 19 March 2023‎ Walle talk contribs‎ 3,555 bytes +3,555‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning and data analysis, '''k-means''' is an unsupervised clustering algorithm that partitions a dataset into '''k''' distinct clusters. The algorithm aims to minimize the sum of squared distances between the data points and the centroids of their corresponding clusters. It is widely used for a variety of applications such as pattern recognition, image segmentation, and customer segmentation...."
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