数据聚类 (英语 : Cluster analysis) 是对于静态数据分析的一门技术，在许多领域受到广泛应用，包括机器学习，数据挖掘，模式识别，图像分析以及生物信息。聚类是把相似的对象通过静态分类的方法分成不同的组别或者更多的子集（subset），这样让在同一个子集中的成员对象都有相似的一些属性，常见的包括在坐标系中更加短的空间距离等。-Data Clustering (English: Cluster analysis) for a static data analysis technique has been widely applied in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the similar objects into different groups, or more subsets (subset) by the method of static classification, so let some of the properties in the same subset of member objects have similar common ones in the coordinate system more short space of distance.