Some classical pattern recognition methods: a review
by Zhifen Wang; Weikuan Jia
International Journal of Collaborative Intelligence (IJCI), Vol. 2, No. 3, 2021

Abstract: Pattern recognition, a fundamental of artificial intelligence, has been successfully applied in many fields. It has broad and far-reaching significance on the development of economy and the progress of science and technology. Firstly, the basic concepts, principles and methods related to pattern recognition are introduced, which contribute to further understanding of pattern recognition. Feature extraction and selection is the key step of pattern recognition, which aims mainly at low loss dimensionality reduction and provides good premise for recognition. Currently, feature reduction has become a hot and difficult issue of pattern recognition, machine learning and data mining. Then, the common methods of pattern recognition are discussed in detail. The key techniques such as algorithms of each method, parameter settings and assessment standards are discussed at a greatest extent. In addition, the newest development of all the methods is also discussed and primary evaluation of effect of the application is made. At last, the development trend and application prospects of pattern recognition are proposed.

Online publication date: Fri, 06-May-2022

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