K-Means: 편집 역사

2024년 12월 2일 (월)

• 최신이전 05:022024년 12월 2일 (월) 05:02‎ Dendrogram 토론 기여‎ 3,918 바이트 +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... 태그: 시각 편집