K-Means++: Revision history

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    1 December 2024

    • curprev 15:4015:40, 1 December 2024‎ Dendrogram talk contribs‎ 2,884 bytes +2,884‎ 새 문서: '''K-Means++''' is an enhanced initialization algorithm for the K-Means clustering method. It aims to improve the selection of initial cluster centroids, which is a critical step in the K-Means algorithm. By carefully choosing starting centroids, K-Means++ reduces the chances of poor clustering outcomes and accelerates convergence. ==How K-Means++ Works== K-Means++ modifies the standard K-Means initialization by ensuring that the initial centroids are chosen in a way that they a... Tag: Visual edit
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