Highlighting the Core Concepts of Clustering Techniques by Examining Its Algorithm

Authors

  • J. Lekha
  • S. Kowsalaya
  • K. Akshaya
  • S. Fayas Rahiman
  • P. S. Vishal

Abstract

Clustering is the unmonitored team grouping of patterns [1]. The question of clustering has been discussed in many ways and this replicates its wide appeal and usefulness as one of the measures in the study of data analysis by researchers in a lot of regulation. It paper’s goal is to analyze the core concepts and techniques in the broad cluster analysis sub-set. Where relevant, references will be made to key concepts and techniques in machine-learning and other communities arising from the clustering process. Data mining is the method of processing and summering information in to useful information from different points of view. Data mining is one of the fields that need to be explored in the current days. Data mining clustering analysis is an important research that has its own unique position in a wide range of data analysis and storage.

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Published

2020-01-22

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Section

Articles