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This chapter continues with the theme of extracting information from unlabelled data. Clustering is concerned with grouping together objects that are similar to each other and dissimilar to objects belonging to other clusters.
There are many methods of clustering. Two of the most widely used, \(k\)-means clustering and hierarchical clustering are described in detail.
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Prof. Max Bramer
- Copyright Year
- Springer London