搜索资源列表
lle
- 局部线性嵌入法，用于数据降维 .lle.m -- A simple matlab routine to perform LLE. .scurve.m -- Code to run the \"s-curve\" example. .swissroll.m -- Code to run the \"swiss roll\" example.
lle
- 局部线性嵌入法，用于数据降维 .lle.m -- A simple matlab routine to perform LLE. .scurve.m -- Code to run the "s-curve" example. .swissroll.m -- Code to run the "swiss roll" example. -Locally Linear Embedding method for data
LLEmultimanifoldlearning
- 基于局部线性嵌入_LLE_非线性降维的多流形学习,是当前人脸识别的新方向-Face Recognition Based on Locally Linear Embedding for Nonlinear Dimensionality Reduction _LLE_ multi-manifold learning
ear3
- 国际会议上的关于人耳图像识别的论文： 改进的局部线性嵌入多姿态耳识别方法-MULTI-POSE EAR RECOGNITION BASED ON IMPROVED LOCALLY LINEAR EMBEDDING
SLLE
- 引入数据类别信息的有监督局部线性嵌入算法，可用于数据分类-Supervised Locally Linear Embedding
LLE
- 流行学习英文文献，主要是局部线性嵌入方法的改进-Pop learning English literature, mainly locally linear embedding Improvement
lle
- 局部线性嵌入算法的matlab代码,改算法是流形学习中的一个算法，目的是将高维流形空间映射到低维嵌入空间。可用于非线性高维数据的降维-matlab code of Local linear embedding algorithm
lle
- 基于流形的lle（局部线性嵌入）算法。 可以设置领域大小，计算速度较快。-Based on manifold lle (Locally Linear Embedding) algorithm. Field size can be set to calculate faster.
swissroll
- 基于LLE（局部线性嵌入）算法的瑞士卷降维程序，程序自动生成瑞士卷，然后降维输出图像。-Based on LLE (locally linear embedding) dimensionality reduction algorithm Swiss roll program, the program automatically generates Swiss roll, then drop-dimensional output imag
LLE-and-improve
- LLE（局部线性嵌入）算法研究介绍的pdf，属于算法的开山之作，LLE算法基础核心。学习LLE从这篇开始。-LLE (Locally Linear Embedding) algorithm introduced in pdf, the mountains are algorithms for, LLE algorithm is based on the core. LLE learn from this start.
lle
- 局部线性嵌入，是一种流行学习的算法，可以学习任意维数的低维流形-locally linear embedding is a algorithm of manifold learning, it can be used to learn arbitrary dimension of low dimensional manifold
lle
- 用matlab来实现局部线性嵌入算子，实现效率比较高-Using matlab to realize lle，the efficiency is good enough
NPE
- 流行学习的一种：邻域保持投影，该方法是局部线性嵌入的线性拓展，较好的保持了数据的局部线性结构-Neighborhood Preserving Embedding (You need to download LGE.m)
LLE
- 高维非线性数据维数约减，局部线性嵌入算法-Dimension reduction of the higher dimensional nonlinear data，locally linear embedding.
lle
- 局部线性嵌入算法，由laurance等人于2000年science上发表，广泛应用于图像处理模式识别等领域，是一种流形学习算法。-the algorithm of locally linear embedding
LLE
- 局部线性嵌入LLE算法的实现，一种非线性降维方法。-Nonliear dimensional reduction by locally linear embedding
LLE
- 局部线性嵌入LLE，是一种非常高效的非线性降维方法，本文PPT主要介绍了LLE算法的实现过程，同时分析了其参数的选择，和MATLAB的仿真实现-Locally linear embedding LLE, is a very efficient nonlinear dimensionality reduction method, this paper mainly introduced the PPT LLE algorithm real
局部线性嵌入
- 利用局部线性嵌入算法将高维数据映射到低维空间中，达到降维效果；(The local linear embedding algorithm is used to map the high dimensional data into the low dimensional space to achieve the effect of reducing the dimension.)
LLE-master
- 流形学习局部线性嵌入算法MATLAB实现源代码(Manifold Learning Local Linear Embedding Algorithms MATLAB Implementation Source Code)
lle
- 此程序为局部线性嵌入，能够实现降维功能。(This program is locally linear embedding and can realize dimensionality reduction function.)