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Cluster analysis is a statistical technique used to group a set of objects or data points into clusters based on their similarities or distances from one another. The main goal of cluster analysis is to identify patterns within a dataset and to categorize data points into groups so that points within the same group (or cluster) are more similar to each other than they are to points in other groups.