| 自组织特征映射网络的分析与应用 |
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| 引用本文： | 程勖,杨毅恒,陈薇伶.自组织特征映射网络的分析与应用[J].长春师范学院学报,2005,24(4):55-59. |
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| 作者姓名： | 程勖 杨毅恒 陈薇伶 |
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| 作者单位： | [1]吉林大学综合信息矿产预测研究所,吉林长春130026 [2]长春工业大学研究生院,吉林长春130012 |
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| 摘 要： | 数据挖掘的方法主要包括检索和分类两类,而各自都有缺陷.针对这些缺点提出先利用自组织映射的方法对采集的数据进行聚类和可视化,获得一些关于采集到的数据的初步信息.自组织映射法的目的是一个将高维数据非线性的投到一个预先定义好的二维拓扑中.它通过竞争学习的方法达到了降维、聚类、可视化的目的.
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| 关 键 词： | 自组织特征映射 聚类 学习速率 权值矩阵 |
| 收稿时间： | 07 2 2005 12:00AM |
Application and Analysis of Self-Organizing Feature Map |
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| CHENG Xu,YANG Yi-heng,CHEN Wei-ling.Application and Analysis of Self-Organizing Feature Map[J].Journal of Changchun Teachers College,2005,24(4):55-59. |
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| Authors: | CHENG Xu YANG Yi-heng CHEN Wei-ling |
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| Institution: | 1. Institute of Mineral Resources Appraisal of Synthetic Information, Jilin University, Changchun 130026, China; 2. Changchun University of Technology, Changchun 130012, China |
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| Abstract: | The mothod of data mining major include serching and classify, but there are different flaw distribute. Aiming to some flaw, people bring forward to use Self- Organizing Feature Map on collecting data to make clustering and watching at first, and obtain principium information about some collectian data. The purpose of Self- Organizing Feature Map is the mothod make nonlinear high dimension data mapping to a prior of definition two dimension matrix. Though the way of competing learning, it can achieve on dropping the account of dimension, clustering, watching. |
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| Keywords: | Self- Organizing Feature Map clustering learning velocity value of power on matrix |
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