K-means clustering: Revision history

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6 March 2024

  • curprev 15:1515:15, 6 March 2024WikiSysop talk contribs 2,619 bytes +2,619 Created page with "__NOTOC__ ===Description=== The program reads a number of data points (multi-dimensional vectors) from a file and partitions those into K clusters. Clustering is important in discovering patterns or modes in multi-dimensional data sets. It is also a method of organizing data examples into similar groups (clusters). In this particular case, K-means partitions the data set such that each example (data point) is assigned to exactly one cluster - the one with the closest cen..."