K-Means++: 편집 역사

2024년 12월 2일 (월)

• 최신이전 05:402024년 12월 2일 (월) 05:40‎ Dendrogram 토론 기여‎ 2,884 바이트 +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... 태그: 시각 편집