| 基于模糊C均值的支持向量机数据分类识别 |
| |
| 引用本文： | 李茂宽,关键.基于模糊C均值的支持向量机数据分类识别[J].系统仿真学报,2005,17(7):1785-1787. |
| |
| 作者姓名： | 李茂宽 关键 |
| |
| 作者单位： | 海军航空工程学院信息融合技术研究所,烟台,264001 |
| |
| 摘 要： | 提出一种基于模糊C均值的支持向量机分类算法，通过模糊C均值算法对未知类别数据进行划分，然后再利用支持向量行对划分后的数据机进训练。解决了以往人们应用支持向量机进行数据分类识别前必须采用已知类别的数据对支持向量机进行训练的弊端，提高了数据分类的效率。
|
| 关 键 词： | 支持向量机 模糊C均值 数据挖掘 |
| 文章编号： | 1004-731X(2005)07-1785-03 |
| 修稿时间： | 2004年4月20日 |
Data Classification and Recognition of Support Vector MachinesBased on Fuzzy C-means Clustering |
| |
| LI Mao-kuan,GUAN Jian.Data Classification and Recognition of Support Vector MachinesBased on Fuzzy C-means Clustering[J].Journal of System Simulation,2005,17(7):1785-1787. |
| |
| Authors: | LI Mao-kuan GUAN Jian |
| |
| Abstract: | A support vector machines (SVMs) classifier based on fuzzy C-means clustering algorithm is presented, with which the unlabeled data was classified by fuzzy C-means clustering firstly, and then the SVMs classifier was trained with the classified data. The algorithm overcame the drawback that the labeled data was adopted when the SVMs classifier being trained, and the efficiency of data classification increased. |
| |
| Keywords: | Support Vector Machines Fuzzy C-means Clustering Data Mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
