1) Local and Global Preserving Embedding (LGPE)
局部全局保持嵌入
2) local and global preserving
局部与全局保持
1.
So,a local and global preserving based semi-supervised dimensionality reduction (LGSSDR) method is proposed in this paper.
在很多机器学习和数据挖掘任务中,仅仅利用边信息(side-information)并不能得到最好的半监督学习(semi-supervised learning)效果,因此,提出一种基于局部与全局保持的半监督维数约减(local and global preserving based semi-supervised dimensionality reduction,简称LGSSDR)方法。
3) locally embedding
局部嵌入
1.
On the basis of locally embedding manifold learning algorithms,a data dimensionality reduction algorithm based on direct estimate grads is proposed.
该文在局部嵌入思想的流形学习算法的基础上,提出直接估计梯度值的方法,从而达到局部线性误差逼近最小化,实现高维非线性数据的维数约简,并在Swissroll曲线上采样测试取得了良好的降维效果。
4) locality preserving
局部保持
1.
Feature Extraction Method on Maximum Margin Criterion with Locality Preserving
有局部保持的最大间距准则特征提取方法
2.
As a new type of algorithm, locality preserving canonical correlation analysis (LPCCA) can solve a large number of non-linear problems.
局部保持的典型相关分析(LPCCA)是一种能够解决大量非线性问题的新型算法。
5) Locality Preserving Projection(LPP)
局部保持(LPP)
6) Locally linear embedding
局部线性嵌入
1.
Ear recognition based on locally linear embedding and nearest feature line;
基于局部线性嵌入和最近特征线的人耳识别
2.
Manifold Learning and Applications of Locally Linear Embedding Algorithm;
局部线性嵌入的流形学习算法研究与应用
3.
Locally linear embedding(LLE)is a newly proposed nonlinear dimension reduction algorithm,which is a kind of manifold learning algorithm.
局部线性嵌入(LLE)是一种新的非线性降维方法,属于流形学习方法,它能有效地发现高维数据中的本真低维结构。
补充资料：局部
一部分；非全体：～麻醉 ㄧ～地区有小阵雨。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条