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R: Mining Spatial, Text, Web, and Social Media Data by Richard Heimann, Nathan Danneman, Pradeepta Mishra, Bater Makhabel

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Various clustering methods available

All clustering algorithms can be classified into four groups, as follows:

  • Hierarchical clustering: Using this method, a number of clusters are prepared from the dataset, forming a hierarchy, and the clusters are then grouped using a tree structure so that the entire dataset can be represented as a single tree structure. The advantage of this method is that unlike partitioning-based clustering, we don't have to specify the number of clusters to be created from the dataset.
  • Partitioning clustering: In this approach, the dataset is divided into a finite group of clusters based on a distance function in such a way that the within-cluster similarity is maximum and between-cluster similarity is minimum. K-means, which ...

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