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Description: 首先对原始数据 归一化
然后进行PCA分析
采用PCs作为特征，
进行模糊聚类分析 fuzzy c-means method
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Size: 1066 |
Author: 王一 |
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Description: 模糊支持向量机与主成分分析在人脸识别中的应用-Fuzzy Support Vector Machine with Principal Component Analysis Applied on Face Recognition
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Size: 5130240 |
Author: 戴欢 |
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Description: 首先对原始数据 归一化
然后进行PCA分析
采用PCs作为特征，
进行模糊聚类分析 fuzzy c-means method-First normalized the raw data and then proceed to PCA analysis using PCs as features, fuzzy clustering analysis for fuzzy c-means method
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Size: 1024 |
Author: 王一 |
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Description: 利用PCA和模糊C均值相结合的方法实现图象的聚类-Using PCA and fuzzy C-means method of combining images to achieve the clustering
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Size: 1024 |
Author: 王英 |
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Description: 基于"pca+lda+粗糙集+模糊神经网络"的人脸识别程序,在matlab上可直接运行-Based on pca+ Lda+ Rough Set+ Fuzzy neural network face recognition procedures can be directly run matlab
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Size: 7773184 |
Author: luo_hongbin |
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Description: 人脸识别工具箱,包含了PCA,LDA两中方法-Face Recognition toolbox contains PCA, LDA in the two methods
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Size: 59684864 |
Author: fengbin |
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Description: 使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data-Yeast data will be classified by means of Fuzzy Cluster Mean (FCM)and Principal component analysis (PCA) based on matlab.
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Size: 12288 |
Author: Peter |
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Description: （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
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Size: 2048 |
Author: dong |
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Description: 自己写的PCA降维算法，还有模糊k均值大家可以参考一下-Write their own PCA dimensionality reduction algorithm, and fuzzy k means we can refer to
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Size: 1024 |
Author: zl |
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Description: 首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher.
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Size: 891904 |
Author: 杨力 |
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Description: 模糊神经网络图像识别, 基于人脸PCA算法的人脸检测识别，LDA特征提取，模糊神经隶属度算法-Fuzzy Neural Network Image Recognition
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Size: 23111680 |
Author: 高连敏 |
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Description: 里面包含多种信号特征提取算法，有短时变换算法，包络特征提取算法，模糊函数算法，包络前沿算法，还有PCA降维等(It contains a variety of signal feature extraction algorithms, including short-time transform algorithm, envelope feature extraction algorithm, fuzzy function algorithm, envelope front algorithm, and PCA dimensionality reduction, etc.)
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Size: 19456 |
Author: XD04121526
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