文献知网节
  • 记笔记

Analysis and Application of Data Mining Based on Clustering Algorithm

LAI HonghuiLAI Xiao tao

Faculty of Information Engineering,Gannan Medical University

摘要:As the ART2 neural network clustering occurs normalization in the data inputting mode by vector and nonlinear transformation pretreatment process is easy to be filtered as a substrate for an important,but a minor component of the noise,while there are still phenomenon of the drift mode in the learning process due to the correction of the value of weight,this paper proposes an improved method of ART2 neural network.On the one hand,as the inputting mode enters into the network to start learning,in the learning process of the input mode to enter the network,it saves their amplitude information,relaxes negative real nonlinear conversion,and considers the shortest distance of the input pattern to each cluster center.; on the other hand,there is also a need to make the corresponding treatment on the non-linear transfer function,so that it can properly handle the input of negative and retains its negative form after the stable F1 layer,not causing loss of information in the inputting mode; in another aspect,in order to eliminate outliers’ influence on clustering results,this paper also carried out on the input mode to determine outliers.
会议名称:

2015 Information Technology and Mechatronics Engineering Conference (ITOEC 2015)

会议时间:

2015-03-28

会议地点:

中国重庆

  • 专辑:

    电子技术及信息科学

  • 专题:

    计算机软件及计算机应用

  • 分类号:

    TP311.13

  • 手机阅读
    即刻使用手机阅读
    第一步

    扫描二维码下载

    "移动知网-全球学术快报"客户端

    第二步

    打开“全球学术快报”

    点击首页左上角的扫描图标

    第三步

    扫描二维码

    手机同步阅读本篇文献

  • CAJ下载
  • PDF下载

下载手机APP用APP扫此码同步阅读该篇文章

下载:11 页码:135-139 页数:5 大小:742k

相关推荐
  • 相似文献
  • 读者推荐
  • 相关基金文献
  • 关联作者
  • 相关视频