K-medians clustering is a partitioning technique used in cluster analysis. It groups data into k clusters by minimizing the sum of distances—typically using the Manhattan (L1) distance—between data points and the median of their assigned clusters.
K-medians clustering is a partitioning technique used in cluster analysis. It groups data into k clusters by minimizing the sum of distances—typically using the Manhattan (L1) distance—between data points and the median of their assigned clusters.
Source: Wikipedia "K-medians clustering" · CC BY-SA 4.0
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