搜索资源列表
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
MCM_3C
- 2015研究生数学建模大赛B组第三小题，利用谱多流形聚类写的人脸聚类算法-2015 graduate mathematical modeling contest B group third questions, using multi spectral clustering algorithm of face manifold clustering to write
mani
- 数据降维工具，包括统计方法和流形学习方法-Data reduction tools, including statistical methods, and manifold learning method
smmc
- SMMC，用于谱多流形聚类，数据接口自己制作，直接调用smmc子程序，设置X，nClusts，ppca_dim，ncentres，knn,power参数即可-SMSC, for spectrum multiple manifolds clustering, data interface to produce their own, directly call smmc subroutine, set X, nClusts, ppca_dim, ncentres, knn, power parame
smmc
- SMMC聚类算法，子空间聚类和多流形聚类均好用，线性空间和非线性空间也好用。-SMMC clustering algorithm, subspace clustering and multi manifold clustering are well used, linear space and nonlinear space.
Dimension-reduction-tools
- 这是一个人机交互界面，里面包含了PCA、MDS、流形学习等一些算法供大家使用-This is a human-computer interaction interface, contains the some algorithms such as PCA, MDS, manifold learning for all to use
MCM_2
- 2015年9月研究生数学建模大赛第二大题源代码，采用多流形谱聚类的方法，识别各种形状-检测到中文英语 2015年9月研究生数学建模大赛第二大题源代码，采用多流形谱聚类的方法，识别各种形状 In September 2015, the second major problem source code of the graduate students mathematical modeling contest, using the method of multi manifold s
smmc
- 处理多流形聚类问题，从相似性矩阵的角度出发，充分利用流形采样点所内含的自然的局部几何结构信息来辅助构造更合适的相似性矩阵并进而发现正确的流形聚类。-Handle multiple manifolds clustering problem, the perspective of the similarity matrix starting, make full use of local natural manifold geometry information contained samplin
mani
- 此代码是关于流形学习，数据降维，代码中含有的主要方法是PCA，KPCA，MDS，KMDS，Laplacian等等，且代码作了可视化处理，界面效果完美-This code is on the manifold learning, data dimensionality reduction, the main method code is contained in PCA, KPCA, MDS, KMDS, Laplacian, etc., and the code visualization ma
mainfold-learning
- 流形学习方法MATLAB代码实现及方法比较-Manifold learning method MATLAB code and compare