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Location:Training / Hot Applications / Industrial Control / Pattern Recognition Cai Xuanping, National University of Defense Technology / Overview, category separability criterion (1)

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Overview, category separability criterion (1)
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Duration：44 minutes and 2 seconds
Date：2019/06/30

Uploader：木犯001号

Introduction

keywords： Bayesian clustering Pattern Recognition

In terms of its academic connotation, pattern recognition is a subject of data processing and information analysis. In terms of its application characteristics, it belongs to the categories of artificial intelligence and machine learning. The pattern recognition course is a professional basic course for undergraduates in information engineering and related majors. It is also an elective course for many other majors and occupies a very important position in the knowledge structure. It is of great significance for consolidating learned knowledge, carrying out professional course study and future work.

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