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Major Clustering Approaches
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Partitioning algorithms: Construct various partitions and
then evaluate them by some criterion
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Hierarchy algorithms: Create a hierarchical decomposition
of the set of data (or objects) using some criterion
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Density-based: based on connectivity and density functions
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Grid-based: based on a multiple-level granularity structure
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Model-based: A model is hypothesized for each of the
clusters and the idea is to find the best fit of that model to
each other
May 22, 2017
Data Mining: Concepts and Techniques
15

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