搜索资源列表
PCA_LDA.rar
- 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
pca
- 运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
moja_PVA_normiran_KNN_koncan
- PCA with K-nn classifier(for pictures)
PCA_classifier
- 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 dete
knn
- this a program that combine knn classifier with PCA to classify vehicle data set.-this is a program that combine knn classifier with PCA to classify vehicle data set.
ensembles_pca_svm_new10v
- pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
2-3@
- a classification base on Baysian classifier , I did pca, lda, normalization on features either
2-4@
- this the code written for baysian classifier that contains lda,pca, normalization-this is the code written for baysian classifier that contains lda,pca, normalization
panahi
- a good algorithm for classification performance improvement (use PCA and LDA respectively and then implement the resulted data set into your classifier)
ECG
- The early detection of arrhythmia is very important for the cardiac patients. This done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different typ
06102001
- 机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" -Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, o
PCA
- 主分量分析，用于对脑电信号的判别分析，也可用于其他的二分类分析。-the classifier of principle component analysis,using for EEG and binary classification
code
- 独立主成分分析与主成分分析代码，速度比较快，而且比较好用-In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown i
LDA-PCA-classifier
- this program will help you to perform LDA and PCA signal processing tools for classifing
1111_10
- this paper has used gabor filter for feature extraction and for feature reduction PCA+LDA has been used. for classification minimum distance classifier is used. PCA+LDA shows better performance than PCA or LDA alone
FINAL
- Nowadays security becomes a most important issue regarding a spoof attack. So, multimodal biometrics technology has attracted substantial interest for its highest user acceptance, high security, high accuracy, low spoof attack and high recognition
FaceRecognitionUsignDTCWT-features
- Face Recognition Using PCA Classifier by extracting DTCWT features
LDA_Linear-Discriminant-Analysis
- 将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性，与PCA区别：LDA考虑分类标签，属于有监督分类。-Linear discriminant analysis (LDA) is a generalization of Fisher s linear discriminant, a method used in statistics, pattern recognit
QDA
- 使用自己写的pca实现qda的多项式分类，没有使用工具包，全部自写-without using the toolbox given by matlab, i wrote pca myself and implement it into qda classifier.
PCA_classifier_version1b
- PCA is used for data classification