medoids


정의: Medoids are representative objects of a data set or a cluster within a data set whose sum of dissimilarities to all the objects in the cluster is minimal. Medoids are similar in concept to means or centroids, but medoids are always restricted to be members of the data set. Medoids are most commonly used on data when a mean or centroid cannot be defined, such as graphs. They are also used in contexts where the centroid is not representative of the dataset like in images, 3-D trajectories and gene expression. These are also of interest while wanting to find a representative using some distance other than squared euclidean distance.


📄 키워드 상세정보

핵심 연구 분야Artificial Intelligence
주요 연도2023년
주요 연관 키워드algorithm
좋아요 수0

키워드별 논문 목록 (2건)