福州大学学报（自然科学版）2013，Vol.41Issue(2)：153-157,5.DOI:10.7631/issn.1000-2243.2013.02.0153
基于自适应邻域参数的拉普拉斯特征映射
Self-regulation of neighborhood parameter for Laplacian eigenmaps
摘要
Abstract
Presents a method called self - regulation of neighborhood parameter for Laplacian eigenmaps based on sampling density and manifold curvature. The method determine neighborhood size by sampling density, and then adjust it by manifold curvature. The experimental results showed that the improved algorithm could obtain better performance than the traditional Laplacian Eigenmaps on dimension reduction.关键词
拉普拉斯特征映射/自适应/邻域参数/采样密度/流形弯曲度Key words
Laplacian eigenmaps/ self - regulation/ neighborhood parameter/ sampling density/ manifold curvature分类
信息技术与安全科学引用本文复制引用
李月娇,刘秉瀚..基于自适应邻域参数的拉普拉斯特征映射[J].福州大学学报（自然科学版）,2013,41(2):153-157,5.基金项目
福建省自然科学基金资助项目(2012J01263) （2012J01263）
福建省科技计划重点资助项目(2011Y0040) （2011Y0040）
