By contrasting the similarity and dissimilarity in data, clustering can find out the data's inner characteristic and distribution rule, so we can obtain the further understanding.
聚类通过比较数据的相似性和差异性，能发现数据的内在特征及分布规律，从而获得对数据更深刻的理解与认识。
The fuzzy similarity method and fuzzy clustering method have been used to identify the seismic gaps and examine the similarity in temporal variation of seismic activity.
此外，还把模糊相似方法和模糊聚类方法应用于识别地震空区及检验地震活动随时间变化的相似性。
Clustering is one of the focused problems in multimedia data mining, and similarity measurement among data is fundamental to clustering.
聚类是多媒体数据挖掘的重要任务之一，数据之间的相似性度量是聚类的基础和前提。
应用推荐