中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 数字工厂研究室  > 期刊论文
题名: 一种改进的ISOMAP分类算法
其他题名: AN IMPROVED ISOMAP CLASSIFICATION ALGORITHM
作者: 杨秀锋; 彭慧; 周晓锋
作者部门: 数字工厂研究室
关键词: 流形学习 ; 数据降维 ; 等距特征映射 ; 分类 ; 监督学习
刊名: 计算机应用与软件
ISSN号: 1000-386X
出版日期: 2015
卷号: 32, 期号:8, 页码:43-46, 55
收录类别: CSCD
产权排序: 1
摘要: 传统的等距特征映射算法在降维时未考虑数据的类别标签,降维后不能够产生从高维到低维的映射矩阵,且不适用于多个类簇的情况,不能直接用于分类。针对这几个问题利用近邻元分析方法取代多维尺度分析法,并且引入特征向量作为输入矩阵,提出一种以分类为目的的等距特征映射算法(NC-ISOMAP)。降维时获取理想的低维投影矩阵,使降维后类间数据更加分开,类内数据更加紧凑。实验结果表明NC-ISOMAP算法能够取得很好的降维效果和分类性能,并在不同的数据集中有着较好的鲁棒性。
英文摘要: Traditional isometric feature mapping algorithm does not consider the classification labels of data when reducing the dimensionality,and cannot produce a mapping matrix ranging from high dimensions to lower dimensions after the dimensionality being reduced,and it cannot fit the situation of multi-class clusters as well,so it cannot be directly used for classification. In light of these problems,we use neighbourhood component analysis ( NCA) to replace the multidimensional scaling analysis ( MDS) ,introduce eigenvector as the input matrix,and propose an isometric feature mapping algorithm aiming at classification,called NC-ISOMAP. In the process of dimensionality reduction,NC-ISOMAP can obtain an ideal low dimensional project matrix,which makes the data become more separate between classes and more compact within a class after lowering the dimensionality. Experimental results show that NC-ISOMAP is able to achieve quite good dimensionality reduction result and classification performance,and has a better robustness in different datasets.
语种: 中文
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/17130
Appears in Collections:数字工厂研究室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
一种改进的ISOMAP分类算法.pdf(549KB)期刊论文出版稿开放获取View Download
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[杨秀锋]'s Articles
[彭慧]'s Articles
[周晓锋]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[杨秀锋]‘s Articles
[彭慧]‘s Articles
[周晓锋]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 一种改进的ISOMAP分类算法.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace