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Clustering is an important data mining technique used to group similar data objects into meaningful clusters without prior knowledge of class labels. Different clustering techniques are applied depending on the structure of data, size of datasets, and the presence of noise. Partitioning, hierarchical, and density-based clustering are three major categories of clustering methods used in data warehousing and data mining. Partitioning clustering techniques divide a dataset into a predefined number of non-overlapping clusters. Each data object belongs to exactly one cluster, and the objective is to maximize similarity among objects within the same cluster while minimizing similarity between different clusters. These techniques require the _________ ___ _________ ____ _____.
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