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Clustering analysis is a fundamental statistical method for grouping similar data points, widely used in fields like economics and research. This article explains two main clustering techniques in SPSS - K-means and hierarchical clustering - with practical examples and result interpretation. (聚类分析是一种将相似数据点分组的基本统计方法，广泛应用于经济和科研领域。本文详细讲解了SPSS中的两种主要聚类技术——K均值聚类和系统聚类，并提供了实际案例和结果解读方法。)