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王海芸, 李霞, 郭政等. 四种模式分类方法应用于基因表达谱分析的比较研究[J]. 生物医学工程学杂志, 2005, 22(3): 505-509.

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  • 标题: PRSD Studio模式分类器研究与应用Research and Application of PRSD Studio Pattern Classification

    作者: 刘娟, 徐红燕, 朱翔鸥, 刘文斌

    关键字: 模式识别, 分类器, MATLAB, PRSD StudioPattern Recognition; Classifier; Matlab; PRSD Studio

    期刊名称: 《Hans Journal of Data Mining》, Vol.1 No.1, 2011-08-26

    摘要: PRSD Studio是一款专为研究解决模式识别问题而开发的MATLAB工具箱软件,与传统的模式识别工具箱PRTools相比,它操作方便,运行速度快,可视化程度高,且能调度到matlab环境外部并嵌入到自定义程序中使用。鉴于此,在介绍模式识别方法及几种分类器后,以鸢尾花数据文件iris.data为例,详细阐述了PRSD Studio模式识别工具箱的功能及使用方法,其中包括数据集构造、特征选择、分类器的设计及性能评价等。 PRSD Studio is a MATLAB toolbox developed for studying and solving pattern recognition problems. And compared with the traditional pattern recognition PRTools, PRSD Studio has a few special features, such as bedienbarkeit, high speed, high visualization as well as embeding classifiers in your applications outside of the matlab environment. Therefore, after introducing the methods of pattern recognition and several classifiers, it elaborates the function and basic operations of the PRSD Studio pattern recognition toolbox by taking the iris.data as example, including dataset structure, feature selection, classifier design and perfor-mance evaluation.

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