Chapter 4
A Survey of Partitional and Hierarchical Clustering Algorithms
Chandan K. Reddy
Wayne State UniversityDetroit, MIreddy@cs.wayne.edu
Bhanukiran Vinzamuri
Wayne State UniversityDetroit, MIbhanukiranv@wayne.edu
4.1 Introduction
The two most widely studied clustering algorithms are partitional and hierarchical clustering. These algorithms have been heavily used in a wide range of applications primarily due to their simplicity and ease of implementation relative to other clustering algorithms. Partitional clustering algorithms aim to discover the groupings present in the data by optimizing a specific objective function and iteratively improving the quality of the partitions. These algorithms generally require certain user parameters to choose ...
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