Cluster Analysis: Basic Concepts and Algorithms
Many data analysis techniques, such as regression or PCA, have a time or space complexity of O(m2) or higher (where m is the number of objects), and thus, are not practical for large data sets. However, instead of applying the algorithm to the entire data set, it can be applied to a reduced data set consisting only of cluster prototypes.
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