介绍了聚类分析的基本概念、K-means聚类、二分K均值聚类、层次聚类、DBSCAN聚类、簇评估等内容。在必要处对各个算法的算法步骤、公式、优缺点、简单示例、时间复杂性、空间复杂性做了描述。其中还归纳了聚类类型、簇类型、相似性度量方法、邻近性矩阵、SSR、凝聚度和分离度、轮廓系数等内容做了简述。
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