Description: 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-pattern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value Platform: |
Size: 630784 |
Author:zsq |
Hits:
Description: 模式分类中应用到的PCA算法，包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements. Platform: |
Size: 2048 |
Author:imago |
Hits:
Description: 此程序是用pca方法对人脸进行特征提取，并进行分类和还原-This procedure is used PCA method for face feature extraction and classification and to restore the Platform: |
Size: 1024 |
Author:陈凯 |
Hits:
Description: 使用pca和svm方法对表情进行分类，有较高的识别准确率-The use of pca and expression svm classification methods, which have a higher recognition accuracy Platform: |
Size: 3072 |
Author:ziting |
Hits:
Description: pca分类算法，3个参数，一个是样本数据x，另外一个是主成分累积贡献率的一个闸值，作为选定主成分个数的一个重要数据。-pca classification algorithm, three parameters, one is the sample data x, the other is the main component of the cumulative contribution rate of the value of a gate, as the number of selected principal components of an important data. Platform: |
Size: 2048 |
Author:smr |
Hits:
Description: Principal component analysis,for study about classification data,develop for svm , lvq etc-Principal component analysis,for study about classification data,develop for svm , lvq etc Platform: |
Size: 1024 |
Author:wichitra |
Hits:
Description: 在PYTHON里面，采用LIBSVM，实现对TE数据的多类故障的分类。-In PYTHON inside, using LIBSVM, TE data to realize the classification of many types of failures. Platform: |
Size: 482304 |
Author:Sophiehxq |
Hits:
Description: 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce the dimensions with pca, and finally multi-category classification svm classification and recognition, including the expansion of the complete orl face database, must be noted that, svm toolbox is to use the libsvm toolbox, configured before running libsvm. Version: libsvm-mat-2 [1] .89-3 [FarutoUltimate3.0] Platform: |
Size: 11366400 |
Author: |
Hits:
Description: 采用pca的方法，对样本进行分类。在实际中pca算法一般用于检测样本的相似度-Using pca method to classify the samples. In practice pca algorithm is generally used to detect the similarity of samples Platform: |
Size: 11006976 |
Author:jarkyilinghui |
Hits:
Description: PCA分类，用于较好的去噪降维，matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘-PCA classification for better denoising dimensionality reduction, a variety of adaptive matlab simulation analysis. . Adaptive information processing algorithms, programs many, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) and the least squares criterion Platform: |
Size: 10240 |
Author:zhangjun |
Hits:
Description: 采用INP数据（145*145*200），该数据有16个类别， PCA进行数据降维，然后对降维数据采用kNN分类（k=1）。(Using INP data (145*145*200), the data has 16 categories, PCA carries out data reduction, and then uses kNN classification for dimensionality reduction data (k=1).) Platform: |
Size: 26624 |
Author:纷纷666
|
Hits:
Description: 基于多光谱影像的地物分类预处理算法，使用matlab将数据tif影像打开，并展示，在数据波段中，使用PCA算法，使得信息集中利于分类。(Preprocessing algorithm of object classification based on multi spectral image) Platform: |
Size: 1024 |
Author:1761834475 |
Hits:
Description: 先用PCA降维，在利用支持向量机进行分类，这个分类是二分类，所以PCA的降维降到两维即可分类。(Firstly, PCA dimensionality reduction is used to conduct classification with support vector machine. This classification is binary classification, so the dimensionality reduction of PCA can be reduced to two dimensions for classification.) Platform: |
Size: 2048 |
Author:JAMESZZH |
Hits:
Description: 基于python，利用主成分分析（PCA）和K近邻算法（KNN）在MNIST手写数据集上进行了分类。
经过PCA降维，最终的KNN在100维的特征空间实现了超过97%的分类精度。(Based on python, it uses principal component analysis (PCA) and K nearest neighbor algorithm (KNN) to classify on the MNIST handwritten data set.
After PCA dimensionality reduction, the final KNN achieved a classification accuracy of over 97% in a 100-dimensional feature space.) Platform: |
Size: 11599872 |
Author:曲小刀 |
Hits:
Search - pca classification