搜索资源列表
LDA_11_16
- 自己经过修改的LDA算法源程序，证明可用-Own modified LDA algorithm source code, proven available
ldaknn
- matlab code for lda and knn based classifier
cva3
- 基于CVA+som的故障诊断,0为simple SOM，1为PCA+SOM, 2为CCA+SOM(CCA与PLS算法相同),3为LDA+SOM, -Based on CVA+ som fault diagnosis, 0 for the simple SOM, 1 for the PCA+ SOM, 2 for the CCA+ SOM (CCA and PLS algorithm the same), 3 for the LDA+ SOM,
rspcafnni
- 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
python-LDA-master
- 使用python语言实现TFIDF文本关键字提取代码-Python tfidf
mhaghighat-gda-87032da
- GDA是LDA算法的核变换版本，简称广义线性判别，能将高维数据投影到低维空间-GDA is the nuclear transformation version of LDA algorithm, referred to as generalized linear discriminant, can be high-dimensional data projection to low-dimensional space
crossProject
- 这是一篇关于机器学习中软件缺陷预测的代码，里面包含PSO,LDA,TCA等代码-This is a machine learning software defect prediction code, which contains PSO, LDA, TCA and other code
MATLAB_LDA
- ＭＡＴＬＡＢ实现的ＬＤＡ算法,能够实现高维数据降维-realization of LDA algorithm in MATLAB，High- dimensional data dimension reduction can be achieved
INNUXAT9
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中-Based on regularization transposed LDA matlab source code, can be applied in face recognition
NLDA
- 利用matlab实现基于NLDA的人脸识别算法，如有需求做RLDA和bagging NLDA并利用sum rule或者majority rule请参照http://shop.zbj.com/14563255/sid-1213623.html-Matlab codes for NLDA, bagging NLDA, random sampling LDA, Integrating Random Subspace and Bagging for LDA Based Face Recognition
bagging-NLDA-and-RLDA
- 利用matlab实现NLDA人脸识别算法，更详细的random sampling LDA, bagging NLDA和整合LDA算子利用majority vote 和sum rule的matlab 代码，人脸库使用ORL库或者XM2VTS库，地址：http://shop.zbj.com/14563255/sid-1213623.html- matlab codes for NLDA face detection, the face s are ORL. More details about r
LDAfenlei
- 此程序主要用来对iris数据集进行分类，主要训练二分类器。(This program is mainly used to classify iris data sets)
9927429LDA
- 线性判别式分析，可以用来对数据进行分类或数据降维（不同于PCA）(Linear discriminant analysis)
FisherFace_New
- LDA算法 将带上标签的数据（点），通过投影的方法，投影到维度更低的空间中，使得投影后的点，会形成按类别区分，一簇一簇的情况，相同类别的点，将会在投影后的空间中更接近。(Linear Discriminant Analysis)
2DLDA PK LDA for feature extraction
- 2D线性判别分析工具箱，该方法为Pattern recognition letters关于2DLDA的源码(2D linear discriminant analysis toolbox, which is the source code for Pattern recognition letters on 2DLDA)
MATLAB Codes for Dimensionality Reduction
- 子空间学习方法工具箱，包含PCA、LDA、LLE、ISOMAP等经典子空间分析方法(Subspace learning method toolbox, including classical subspace analysis methods such as PCA, LDA, LLE, ISOMAP and so on)
plsAlda
- 进行pls+Lda对数据分类，适用于光谱文件进行预处理，降维(Classification of data by pls+Lda)
kpmf
- Matlab code for bayesian LDA.
statistics_kmeans
- K-means算法是一种硬聚类算法，根据数据到聚类中心的某种距离来作为判别该数据所属类别。K-means算法以距离作为相似度测度。(kmeans uses the k-means++ algorithm for centroid initialization and squared Euclidean distance by default. It is good practice to search for lower, local minima by setting the 'Replica
LDA1
- LDA线性判别算法，可以用来对数据进行降维(LDA linear discriminant algorithm can be used for dimensionality reduction of data.)