搜索资源列表
synthetic_data
- 实现LLE降维的一种改进方法,并通过文件中的五组数据来说明(LLE dimension reduction)
PCA
- 采用INP数据(145*145*200),该数据有16个类别, PCA进行数据降维,然后对降维数据采用kNN分类(k=1)。(Using INP data (145*145*200), the data has 16 categories, PCA carries out data reduction, and then uses kNN classification for dimensionality reduction data (k=1).)
lda-0.2-matlab.tar
- lda降维方法源码,lda 方法有很牛逼的降维效果,对分类精度有很大的提升(lda dimension reduction method source code, lda method is very Niubi dimension reduction effect, classification accuracy has greatly improved)
pca_fld
- 这是主成分分析pca和fld的代码,主要实现特征降维。(This is the principal component analysis of pca and fld code, the main feature reduction dimension.)
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.)
PCA0118
- PCA降维,将特征以二维矩阵形式输入,对特征进行降维处理。(PCA dimension reduction, the characteristics of a two-dimensional matrix input, the feature dimensionality reduction.)
My_PAA
- 很好用的降维程序,下载后就能用适用于各类信号(A very good dimensionality reduction program)
LSHash-master
- 高维数据降维,并能够快速的检索到想要的数据(Dimensionality reduction of high dimensional data)
PCA
- 用matlab自带的PCA算法对图像进行降维(Dimensionality reduction for images)
pca
- 大数据降维方法,具体的处理了图像等,包括数据的冗余部分,利用PCA技术快速降维。(Large data dimensionality reduction method.Specifically dealing with images, including redundant parts of data, and using PCA technology to reduce dimensionality rapidly.)
KLFDA
- 很好的文件,充分解释了该降维算法的原理,对人工智能有帮助。(A good document fully explains the principle of the dimensionality reduction algorithm, which is helpful for artificial intelligence.)
3DT
- 对杂波频谱进行了仿真,并对最优STAP和降维3dt算法的改善因子进行了对比(The clutter spectrum is simulated, and the improvement factors of the optimal STAP and the dimension reduction 3DT algorithm are compared.)
降维程序
- 完成多维数据的降维工作简化数据以便更好地完成工作(The dimension reduction of multidimensional data is completed, and data is simplified, so as to better finish the work.)
compute_mapping
- 输入: 二维矩阵;输出:降维结果; 共包含34种降维方法,线性/非线性;局部/全局;监督/非监督(Input: 2-D matrix; output: dimension reduction result; contains 34 dimensionality reduction methods, linear / nonlinear; local / global; supervised / unsupervised.)
cca
- 对于降维方法中,曲线成分分析(CCA)的实现(For the dimensionality reduction method, the realization of curve component analysis (CCA) is realized.)
KLT
- 本程序实现了利用KL变换进行特征分解,并进行降维重建,示例图片在文件中给出。(This program realizes feature decomposition using KL transform and dimensionality reduction reconstruction. The example pictures are given in the file.)
LDA_ FDA_with_tutorial
- LDA降维是常用的降维手段之一,是常用的有监督学习降维工具。这个文件对其产生W后的使用进行了简要说明,使用W进行最终的降维可以得到十分漂亮的分析结果(在数据分布符合假设分析的情况下。)(LDA dimension reduction is one of the commonly used dimensionality reduction methods. It is a commonly used supervised learning dimensionality reduction tool
drtoolbox
- MATLAB数据降维工具箱,花钱买来的,跟大家一起分享,感谢pudn,我们一起加油!(MATLAB Data Dimension Reduction Toolbox)
87361055LaplacianEigenmapSwissRoll
- 对高维数据进行降维,可以方便大家利用时间。(Dimensionality reduction for high dimensional data)
NM_PCA
- PCA降维算法,本程序已经调好,可以直接跑数据(PCA dimension reduction algorithm, this program has been adjusted, you can run data directly)