Divisive clustering: Revision history

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19 March 2023

  • curprev 12:1712:17, 19 March 2023‎ Walle talk contribs‎ 2,788 bytes +2,788‎ Created page with "{{see also|Machine learning terms}} ==Divisive Clustering== Divisive clustering, also referred to as "top-down" clustering, is a hierarchical clustering method employed in machine learning and data analysis. It involves recursively partitioning a dataset into smaller subsets, where each subset represents a cluster. This process starts with a single cluster encompassing all data points and proceeds by iteratively dividing the clusters until a certain stopping criterion is..."
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