In this chapter, we first define the commonly used tasks and terminologies in data analysis and show the importance of data clustering. Then we give a mathematical formulation of the clustering problem and explain the frequently used similarity measures. Finally, we provide a short survey on different types of existing clustering algorithms and describe some of the most popular applications of data clustering.

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Introduction to Clustering

  • Adil Bagirov,
  • Napsu Karmitsa,
  • Sona Taheri

摘要

In this chapter, we first define the commonly used tasks and terminologies in data analysis and show the importance of data clustering. Then we give a mathematical formulation of the clustering problem and explain the frequently used similarity measures. Finally, we provide a short survey on different types of existing clustering algorithms and describe some of the most popular applications of data clustering.