K-Means 클러스터링 기법은 데이터마이닝 분야 중 클러스터링 분야에서 가장 널리 쓰이는 방법 중 하나로 주어진 데이터 셋에서 k개의 클러스터를 중심으로 데이터를 분할하는 기법이다. 최근의 데이터는 여러개의 속성을 고려해야 한다. 따라서 본 논문에서는 K-Means 클러스터링 기법을 소개하고, 또 K-Means 클러스터링 기법을 여러 개의 속성을 고려하기 위하여 다차원 데이터에 적용한 실험을 소개한다.
KSP Keywords
K-Means
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