文章基本信息

标题：Comparative Study of Pattern Classifiers
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作者：Jagbeer Kaur ; Deep Kamal Kaur Randhawa
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9592
DOI：10.15680/IJIRCCE.2017.0505057
出版社：S&S Publications
摘要：This paper presents a comparative study of different pattern classifiers with its assumptions, advantagesand limitations. Patterns classifiers are commonly used for pattern recognition which has wide scope in medical,industrial and commercial applications such as face recognizer, fingerprint detection, hand writing recognizer, noisedetection, video surveillance in computer vision and many more. It has overlap scope with machine learning, datamining and knowledge discovery in Databases. The motivation is to have an overview of different published algorithmsand analysing its potential future trends.
关键词：Classifier; supervised; Support Vector Machine; Gaussian Mixture Model; K- Mean; Adaptive Navie;Bayes; Desicion Tree