nup_PVpanel

fcm code for matlab 2009 and can clustering the item into several clusters with this algorithm

this trains a set of images to calculate metric

说明：  matalb实现的协同过滤，里面包含很多重要算法，都已经实现(matalb achieve collaborative filtering, which contains many important algorithms have been realized)

Adaptive k means clustering code

说明：  基于MATLAB的BP神经网络非线性映射能力实现图像压缩。(MATLAB Based on BP neural network nonlinear mapping capability for image compression.)

用matlab编写的Gabor滤波器，得虚部和实部(Matlab prepared by the Gabor filter, imaginary part and real part)

SVM简单算法，利用该算法可以实现简单的几类数据的分类问题，非常简便(SVM simple algorithm, using this algorithm can achieve a simple classification of data types, very simple)

包含了SIFT详解，对于初学图像分类，场景识别有很大帮助(Contains a detailed SIFT, for beginners of image classification, scene recognition is of great help)

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)

matlab的学习书籍，供工程技术人员以及大学教师和学生使用的一本好书。(Matlab learning books for engineering and technical personnel as well as university teachers and students use of a good book.)