搜索资源列表
LDA-Reconginatin Matlab LDA降维经典程序
- Matlab LDA降维经典程序 外国人Jonathan Huang写的LDA matlab程序，用于多维特征的降维 -Matlab LDA dimension reduction procedures foreigners Jonathan Huang classic written LDA matlab program for multi-dimensional characteristics of the dimension reduction
KPCA.rar
- 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.
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!
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
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!
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
pca
- 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
empca
- EMPCA算法的函数代码，附带有训练测试数据集，用于特征降维等方面。-Algorithm EMPCA function code, attached to the test data set there is training for the characteristics of dimensionality reduction and so on.
31767689LPP_MatlabCode
- lPP 用于数据降维 很好用 希望能派上用场-LPP be use to dimension reduction
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
pca降维算法
- pca降维算法，试验已经成功，将39维数据降到12维(PCA dimensionality reduction algorithm, the test has been successful, the 39 dimensional data down to 12 dimensions)
数据降维工具箱
- 数据降维matlab程序包，几乎涵盖了所有的主流数据降维方法(Data dimensionality reduction matlab package covers almost all the mainstream data reduction methods)
PCA实现特征降维
- pca和_fase_pca实现特征降维，两种算法都有所改进，特别是pca可以根据自己的需要进行相应的改进，代码清晰易懂，希望对你有帮助。(PCA and _fase_pca to achieve feature reduction, the two algorithms have improved, especially PCA can be improved according to their needs, the code is clear and easy to understand,
降维
- 数值分析自适应降维近似MATLAB算例相关程序(polynomial dimension-reduction)
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)
数据降维
- 数据降维，人工智能 ，使用MATLAB打开运行即可。。。。。。(Data reduction, artificial intelligence, open and run using MATLAB)
Isomap降维算法MATLAB代码实现
- Isomap降维算法MATLAB代码实现。isomap最主要的优点就是使用“测地距离”，而不是使用原始的欧几里得距离，这样可以更好的控制数据信息的流失，能够在低维空间中更加全面的将高维空间的数据表现出来。机器学习。流形学习。降维
主成分分析降维代码（直接调用版）
- 主成分分析降维代码，完整版，可以直接放进matlab运行。(Principal component analysis dimension reduction code, complete version, can be directly put into Matlab to run.)