K-Means: Revision history

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    1 December 2024

    • curprev 15:0215:02, 1 December 2024‎ Dendrogram talk contribs‎ 3,918 bytes +3,918‎ 새 문서: '''K-Means''' is one of the most popular unsupervised machine learning algorithms used for clustering data into distinct groups. The algorithm partitions a dataset into '''k''' clusters, where each data point belongs to the cluster with the nearest mean. It is widely used for data analysis, pattern recognition, and feature engineering. ==How K-Means Works== The K-Means algorithm follows an iterative process to assign data points to clusters and optimize the cluster centroids: #I... Tag: Visual edit
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