搜索资源列表
mds.计算多维定标(MDS)的matlab源代码
- 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
PCA_LDA.rar
- 《机器学习》课上的作业,PCA和LDA降维,尽管网上很多,但很少注释,另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器,大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数,不是百分比!," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
OFDMPAPR
- 实现降低OFDM的峰均比的源代码,包括SLM PST算法。-OFDM PAPR reduction achieved in the source code, including SLM PST algorithm.
Dimension-reduction--toolbox
- 该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法,也有典型的流形学习算法,如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
main
- KDD99的属性约简,国外高人写的代码。-KDD99 of attribute reduction, foreign Gaoren to write code.
ReductofRoughSetMatlab
- 利用Matlab实现决策系统的属性约简,完整源代码Word文档-Using Matlab to achieve decision-making system attribute reduction, complete source code Word document
testnonlocalmean
- 这是一个非局部均值算法实现工具和相关实验数据,主要用来实现图像增强和降噪应用-This is a non-local means algorithm to achieve the tools and related experimental data, mainly used for image enhancement and noise reduction application
Many
- 小波降噪,及多小波的分解及重构!小波降噪,及多小波的分解及重构!-Wavelet noise reduction, and multi-wavelet decomposition and reconstruction! Wavelet noise reduction, and multi-wavelet decomposition and reconstruction!
clsf_dpd_fast
- Neighborhood rough set based feature evaluation and reduction
fs_entropy
- data reduction with fuzzy rough sets or fuzzy mutual information
Pade.model.reduction.of.the.reduction.method
- 已知某系统传递函数G,可以调用改代码对系统进行降阶处理。功能同routh降阶相似,不过这里的分子阶次r和分母阶次k可以不止相差1。-Known transfer function of a system G, can call the code to deal with reduced-order system. Routh Reduction with similar features, but here the molecular order r and the denominator or
OFDMPAPRReductionPTSMethod
- 降低OFDM的PAPR的PTS方法MATLAB仿真-OFDM PAPR Reduction PTS Method
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
pls
- 所谓偏最小二乘法,就是指在做基于最小二乘法的线性回归分析之前,对数据集进行主成分分析降维,下面的源码是没有删减的,GreenSim团队免费提供您使用,转载请注明GreenSim团队(http://blog.sina.com.cn/greensim)。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis pr
ownpca
- MATLAB源程序,主成分分析法(PCA),这是一种降维的方法,可以用于多通道数字信号处理-MATLAB source code, principal component analysis (PCA), which is a dimension reduction method can be used for multi-channel digital signal processing
nreduce
- this the noise reduction source code. i hope this will be useful for every body who used it-this is the noise reduction source code. i hope this will be useful for every body who used it
SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
ModelOrderReductionAlgorithms
- 自动控制方法中的状态空间模型参数降秩数学算法,分别为 SVD-based method; Krylov-based Order Reduction--Lanczos algorithm; Krylov-based Order Reduction--Modified Lanczos algorithm; Krylov-based Order Reduction--The Arnoldi-algorithm; -Model Order Reduction Algorithms f
3
- 涂层物质中的电磁脉冲特性与雷达截面减缩,涂层物质中的电磁脉冲特性与雷达截面减缩-Radar Cross Section Reduction and Characteristic of Electromagnetic Pulse in Antiradar Coating M aterial
pca
- PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序,根据需要取前面最重要的部分,将后面的维数省去,可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。-A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component&qu
