Chapter 20

Clustering

Dao Lam and Donald C. Wunsch,    Missouri University of Science and Technology, Applied Computational Intelligence Lab, Department of Electrical and Computer Engineering, Rolla, MO, USA, dlmg4@mst.edu, wunsch@ieee.org

Abstract

Clustering has been applied in many areas, including signal and image processing. This chapter reviews the motivation for clustering and several different types of clustering. See [35,5] for more detailed information, from which some of this material has been taken.

Keywords

Hierarchical clustering; EM; k-means; Spectral clustering; Biclustering; Co-clustering; Subspace clustering; Clustering validation

1.20.1 Introduction

Every day, society generates large amounts of data, which can be subjected to analysis ...

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