Description: 维数约简工具箱源代码，包括PCA、LLE等学习算法，可用于模式识别、数据挖掘和统计分析等。-dimension reduction toolkit source code, including the PCA, LLE and other learning algorithms can be used for pattern recognition, data mining and statistical analysis. Platform: |
Size: 194560 |
Author:王为 |
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Description: 做模式分类时（例如指纹识别，人脸识别），一个需要处理的难题是维数非常大，人脸往往是百万维的，目前计算机的能力还不足以快速地计算这么高维的数据。pca是一中降维的方法，用它可以把高维数据映射到一个维数较低的空间上考虑。-To do pattern classification (for example, fingerprint identification, face recognition), a need to deal with the problem is very large dimension, often millions of people face-dimensional, the current capacity of the computer fast enough to calculate such a high-dimensional data. PCA is a dimensionality reduction of the method, it can be high dimensional data is mapped to a lower dimension space to consider. Platform: |
Size: 1024 |
Author:李志焕 |
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Description: 2DPCA新的降维方法,是PCA的改进,新,很值得一看!-2DPCA new dimension reduction method is PCA improvements, the new, it is worth a visit! Platform: |
Size: 1024 |
Author:黄传波 |
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Description: This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.
* PCA : classical Principal Componnent Analysis (linear projection).
* Nonlinear dimensionality reduction by locally linear embedding.
* Laplacian Eigenmaps for dimensionality reduction and data representation-This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.
* PCA : classical Principal Componnent Analysis (linear projection).
* Nonlinear dimensionality reduction by locally linear embedding.
* Laplacian Eigenmaps for dimensionality reduction and data representation Platform: |
Size: 226304 |
Author:tra ba huy |
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Description: 2DPCA新的降维方法,是PCA的改进,新,很值得一看 -2DPCA a new dimension reduction method is PCA improvements, the new, it is worth a visit Platform: |
Size: 2048 |
Author:jiangjun |
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Description: 核主元分析程序，本人毕业设计程序，用于降维，监测Te过程故障，误诊断率低。-KPCA program, I graduated from the design process for dimension reduction, monitoring Te process failure, error diagnosis rate is low. Platform: |
Size: 12288 |
Author:石怀涛 |
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Description: 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 Platform: |
Size: 1024 |
Author:qsylj |
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Description: 这是MATLAB学习LSDA降维方法的核心程序，将降维后的特征用支持向量机进行训练和识别！-This is a MATLAB dimension reduction methods to study the core of LSDA process will feature after dimension reduction using support vector machine training and recognition! Platform: |
Size: 8192 |
Author:liguo |
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Description: 降维状态观测器是非常重基于T变换的降维观测器设计方法。要的一类观测器-Reduced-order state observer is very important dimension reduction based on T transform observer design method. To a class of observer Platform: |
Size: 1024 |
Author:杨波 |
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Description: 提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图
像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别
程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognition. This method between the two images by calculating the reconstructed image block average error, calculated using the linear discriminant analysis after dimension reduction of two images Euclidean distance, the integration calculation of reconstruction error and the Euclidean distance difference between these two images level. Platform: |
Size: 220160 |
Author:程德志 |
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Description: PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired. Platform: |
Size: 1975296 |
Author:taiji |
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Description: 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 typical manifold learning algorithms such as Isomap, LLE, HLLE, Laplacian Eigenmaps and Local Tangent Space. Platform: |
Size: 195584 |
Author:芝麻 |
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Description: pca特征向量提取 利用pca的方法获取特征植及特征向量 最后可以自己根据需要降维-pca pca feature vector extraction method using characteristics of plants and to obtain the final feature vector dimension reduction can be their own as needed Platform: |
Size: 4096 |
Author:张天号 |
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