搜索资源列表
DCT_PCA
- 离散余弦变换，然后主成分分析进行数据降维，用于模式识别，如人脸识别，掌纹，表情，指纹等识别。-Discrete cosine transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palmprint, face, finger
PCA_SIFT
- 基于pca降维的特征不变特性变换方法（sift），希望对研究特征提取的朋友有帮助！-PCA dimensionality reduction based on the characteristics of the same characteristics of transformation method (sift), hope that the study of feature extraction has to help a fri
somnet
- 一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualiz
2DLDA_PK_LDA_for_feature_extraction
- These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger tha
PCA+LDA
- PCA(主成分分析法)、LDA(线性判别法) 两种方法是主要的线性降维法，有很好的效果，希望对大家能够有用！-PCA (Principal Component Analysis), LDA (Linear Discriminant method) two methods are the main linear dimensionality reduction method, have very good results, in th
lunwen
- 石润婷在国家集训队的论文，有关信息多维化与如何降维的-石润-ting in the National Team of the thesis, relevant information on how multi-dimensional and dimensionality reduction of
PCA1
- pca算法，用于数据降维，注释非常详细清晰，-PCA algorithm, for data dimensionality reduction, clear and very detailed notes,
NeighborPreservEmbedd
- 一种邻域保护嵌入算法，用于高维数据的降维处理-The protection of a neighborhood algorithm for high dimensional data, dimensionality reduction to deal with
sne
- 一种基于概率的数据降维处理方法：Stochastic Neighbor Embedding-Based on the probability of data dimensionality reduction approach: Stochastic Neighbor Embedding
KPCAEXAMPLE
- 一个很好的核主成分分析matlab程序应用举例。该程序是在前人的核主成分分析程序基础上做了适当的修改产生的，可用于多维数据的降维和压缩处理。-A good kernel principal component analysis matlab application procedures, for example. The program is in the predecessors of Kernel Principal Compone
mds
- 一个计算多维定标（MDS）的matlab源代码，用于高维数据的维数约减-A calculation of multidimensional scaling (MDS) of the matlab source code for the high-dimensional data, dimensionality reduction
KLPP
- 核lpp（局部保持映射）的降维方法。跟Xiaofei He的论文配套-Nuclear lpp (partial maintain mapping) methods of dimensionality reduction. Xiaofei He told the paper supporting
LGE
- LGE算法（Linear Graph Embedding）用于降维，代码比较长，比较复杂。供大家研究！-LGE algorithm (Linear Graph Embedding) for dimensionality reduction, code longer, more complicated. For everyone!
OLPP
- 正交的Linear Graph Embedding算法！用于降维，供大家学习交流。-Orthogonal Linear Graph Embedding Algorithm! For dimensionality reduction for them to learn from the exchange.
MFA
- Marginal Fisher Analysis算法，可用于降维，注释有使用说明！供大家学习交流！-Marginal Fisher Analysis algorithm, can be used for dimensionality reduction, the Notes are used to explain! For all to learn!
pca
- 主成分分析程序，可用于数据降维及特征提取。-Principal component analysis procedures, can be used for data dimensionality reduction and feature extraction.
KPCA
- 一个很好的PCA程序。它可用于数据的降维，消噪及特征提取。-A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction.
rdetools-0.1
- relevant dimensionality estimate toolbox-relevant dimensionality estimate
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
lda
- 非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning