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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Clustering AlgorithmsIn Data Mining

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DOI: 10.25236/cape.2017.014

Author(s)

Xiaosong Chen

Corresponding Author

Xiaosong Chen

Abstract

Data mining is a hot research direction in information industry recently, and clustering analysis is the core technology of data mining. Based on the concept of data mining and clustering, this paper summarizes and compares the research status and progress of the five traditional clustering algorithms, and sorts out some new clustering algorithms. Nowadays, clustering algorithms are mainly focused on fuzzy clustering, spectral clustering, quantum clustering and so on. This study is a good summary of the clustering algorithm, and it has positive significance for the development of clustering.

Keywords

Data mining, Algorithm, Clustering.