Description: PCA（主成分分析）算法被广泛应用于工程和科学研究中，本报告主要从PCA的基本结构和基本原理对其进行研究，常规的PCA算法主要采用线性算法，通过研究论证发现线性的PCA算法存在着许多不足，比如线性PCA算法不能从线性组合中把独立信号成分分离出来，主分量只由数据的二阶统计量—自相关阵确定，这种二阶统计量只能描述平稳的高斯分布等，因此必须对其进行改进，经改进后的PCA算法有非线性PCA算法、鲁棒算法等。我们通过PCA算法在直线（平面）中拟和的例子说明了PCA在工程中的应用。本例子采用的是成分分析中的次成分（方差最小的成分），通过对结果的分析，我们可以看出，利用PCA算法可以得到较好的拟和结果。-PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algorithm, found through research and demonstration linear PCA algorithm, there are many inadequate, For example, not linear PCA algorithm from the linear combination of the independent signal components separated, PCA data only from the second-order statistics-auto-correlation matrix to determine, Such second-order statistics can only describe a smooth Gaussian distribution, it is necessary to improve it. After the improvement of the PCA algorithm is nonlinear PCA algorithm, robust algorithm. PCA algorithm we passed the line (plane), and to be example Platform: |
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Author:东方云 |
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Description: 关于matlab主元分析的一个简单的实例，可供初学者参考学习。-Matlab PCA on a simple example of reference for beginners to learn. Platform: |
Size: 3072 |
Author:刘明 |
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Description: matlab 主成分分析法程序，以目标威胁度评估为例-matlab principal component analysis procedures in order to target the threat assessment as an example Platform: |
Size: 1024 |
Author:shaseng |
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Description: matlab编写的Modular PCA的源代码，以Yale人脸库为例。Moduplar PCA首先对原始图像分块，然后对分块后的所有子图像进行PCA分析提取投影特征，对待识别图像也是先进行分块，然后分别计算子图像在投影特征下的投影系数，最后根据最近邻分类器进行分类。-Modular PCA prepared matlab source code to Yale face database as an example. Moduplar PCA first block of the original image, and then on the block after all the sub-image analysis to extract PCA projection characteristics, treatment identification image is first block, and then calculated the characteristics of sub-image in the projector under the projection coefficient, and finally the light of recent Neighbor Classifier classification. Platform: |
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Author:章格 |
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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: |
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Author:李志焕 |
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Description: 在MATLAB上所使用的PCA程序，主要應用於過濾相對較不重要的特徵值(dimension)，例如在三度空間的某些點具有(x,y,z)值，因為這些點有共同的一個持徵，就是z值相對於x,y值來得小很多(不明顯)，所以就以X,Y軸來表示這些點。此時就達成去除掉z的特徵值(dimension)。
-MATLAB used in the PCA procedure, mainly used in filtering relatively unimportant eigenvalue (dimension), for example, in some points with three-dimensional (x, y, z) values, because these points have a common one sign holders, that is, z values compared with the x, y values much smaller than (not obvious), so on to X, Y axis to express these points. Reached at this time to get rid of z eigenvalues (dimension). Platform: |
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Author:iceryu01 |
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Description: ASM,主动形状模型，PCA，可变形模型。以人手变形为例，内涵18个人手图形，每个有72个landmarks，程序对人手形状进行了procrutes align然后进行了PCA-ASM, take the initiative to shape model, PCA, deformable model. Manual deformation as an example, the connotation of the 18 individual hand graphics, each has 72 landmarks, the procedure carried out on the staffing procrutes align shape and then proceed to the PCA Platform: |
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Author:zmy |
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Description: This program is used to explain how PCA works and the idea behind the
method. This example is given in the ISA book (Chapter 8, simple example)
The process is composed of a valve a thermometer and a fermenter. The
valve is used to control the flow rate of cooling water. The thermometer
is used to measure the temperature of the fermenter.- This program is used to explain how PCA works and the idea behind the
method. This example is given in the ISA book (Chapter 8, simple example)
The process is composed of a valve a thermometer and a fermenter. The
valve is used to control the flow rate of cooling water. The thermometer
is used to measure the temperature of the fermenter. Platform: |
Size: 2048 |
Author:gaurav |
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Description: 用MATLAB实现了基于pca的特征提取方法，有效地完成了识别，是识别的经典例子-Pca-based implementation using MATLAB feature extraction methods, efficient completion of the identification is to identify the classic example of Platform: |
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Author:黄静 |
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Description: ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
-Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach.
Basic idea:
The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions.
After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour.
Literature:
- Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I Platform: |
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Author:谢冉 |
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Description: A basic PCA classifier is provided here for a two class classification problem.
An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model. Platform: |
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Author:AhmedMrc |
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Description: 一个PCA的Matlab程序实例，应用于多维参数的自动降维和分类-The Matlab program example of a PCA applied to the automatic multi-dimensional parameter dimension reduction and classification Platform: |
Size: 1024 |
Author:hawk85 |
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Description: 本程序是一个MATLAB PCA变换的人脸识别程序，提供了简单的例子方便大家学习。-This program is a MATLAB PCA transform for face recognition process, provides a simple example will help you learn. Platform: |
Size: 3195904 |
Author:龙家辰 |
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Description: PCA MATLAB 代码示例，有详细的注释，代码简单易懂，仅供学习参考(PCA MATLAB code example, with detailed annotations, the code is simple and easy to understand, only for learning reference) Platform: |
Size: 18432 |
Author:learner1 |
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Description: PCA降维实例，使用数据集，数据集衡量美国329个城市生活质量的9个指标：气候、住房、健康、犯罪率、交通、教育、艺术、娱乐和经济。对于各指标，越高表示越好，如高的犯罪指标表示低的犯罪率。(PCA dimensionality reduction example uses data sets and data sets to measure 9 indicators of quality of life in 329 cities: climate, housing, health, crime rate, transportation, education, art, entertainment and economy. For each index, the higher the better, as the high crime indicator indicates a low rate of crime.) Platform: |
Size: 393216 |
Author:echo_ |
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