搜索资源列表
HLLE
- 一种流形学习算法，HLLE 一种流形学习算法，HLLE-A kind of manifold learning algorithm, HLLE
LTSA
- 一种用于非线性降维的流形学习算法，主要是先考虑用每一点处的局部切空间表示该点处的几何特征，然后都局部切空间进行排列-A manifold learning algorithm for nonlinear dimension reduction, mainly consider to use every bit of the local tangent space representation of geometric feature at that point, then the local t
Solution_Knn
- 利用KNN算法实现模式识别，通过黎曼流形来衡量矩阵的相似性。-use the knn agrithm to object classification.
pca
- 可以很好的实现流形学习算法中的线性降维算法PCA数据降维。-Can well realize the manifold learning algorithm of linear dimension reduction algorithm of PCA data dimension reduction.
manifold-learning
- 流形学习8中方法，可自由选择种类、参数，欢迎下载、讨论-8 manifold learning methods are free to choose the type of the parameter
Sparse-Embedding
- 该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋-The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib
manifold
- 自然杂志上关于流形学习的重要文章，用于非线性维数约简。 -Nature of manifold learning important articles, for nonlinear dimensionality reduction.
Manifold_learning_algorithms
- Manifold learning algorithms，即流形学习算法，这是一种较新的学习算法，用于对问题的优化分析。-Manifold learning algorithms, namely manifold learning algorithm, which is a relatively new learning algorithm for optimal analysis of the problem.
NMM
- 数值流形方法的源代码，主要由于连续和非连续变形的分析，裂纹扩展的模拟等-NMM source code, mainly due to the continuous and discontinuous deformation analysis, simulation of crack propagation
ManifoldLearn.tar
- 流形学习的matlab集成代码，包括经典的LLE等算法-manifold learning for matlab
code
- 数据降维与流形学习，方便初始学者学习数据降维方法和流形学习。-Data dimension reduction and manifold learning
lle
- 利用流形学习算法对高维数据进行降维，得到高维数据的低维流形-Use manifold learning algorithms for high dimensional data dimensionality reduction, to obtain a low dimensional manifold in high-dimensional data
IsomapR1---
- 这是一个关于流形学习的压缩文件，大家可以根据需要下载-this is about isomap.m
Saliency-Detection-via-Graph-Based
- Saliency Detection via Graph-Based Manifold Ranking文章的代码，采用流形排序的方法的显著性检测-The code is for paper Saliency Detection via Graph-Based Manifold Ranking by Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan
Isomap
- ISOMAP(Isometric Feature Mapping，等度规特征映射)算法在高维非线性数据处理中有较为理想的效果，建立在MDS (Multi-Dimensional Scaling，多维尺度变换)的基础上，其基本思想是当数据集的分布具有低维嵌入流形结构时，可以通过保距映射获得观测空间数据集在低维空间的表示。-ISOMAP (Isometric Feature Mapping, and other metric feature mapping) algorithm can get mo
manifoldMS_src
- 流形上的非线性均值漂移算法。Peter Meer教授出品。-C++ code to generalize nonlinear mean shift to data points lying on Riemannian manifolds. The theory is described in Nonlinear Mean Shift over Riemannian Manifolds.
xyle
- 拉普拉斯降维方法，是非线性数据降维方法，通过构建相似关系图来重构数据局部流形结构特征。-Laplace dimension reduction method is non-linear data dimensionality reduction method, by constructing a graph similar to reconstruct the structure of local manifoldof the data.
ssc的metlab
- 流形或子空间从一个到多个的扩展，即假设数据集采样于多个欧氏空间的混合。子空间聚类（又称为子空间分割，假设数据分布于若干个低维子空间的并）是将数据按某种方式分类到其所属的子空间的过程。通过子空间聚类，可以将来自同一子空间中的数据归为一类，由同类数据又可以提取对应子空间的相关性质。
2015B
- 2015数学建模B题，包括了人工智能很多知识，有谱聚类，多流形学习，人脸识别，以及稀疏子空间聚类。其中的英文参考文献很有价值。-2015 mathematical modeling of B problems, including the artificial intelligence of a lot of knowledge, a spectral clustering, manifold learning, face recognition, as well as sparse subsp
mani
- 一个流形学习的GUI，可以直接运行，里面包含八种流形学习算法-MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota