搜索资源列表
Fisher
- 用MATLAB做的Fisher线性分类器，处理脑电信号，数据为bci竞赛数据-MATLAB to do with Fisher linear classifier, EEG signal processing, data race data for the bci
chengxu
- 这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
LinearSVC
- Construct a linear SVM classifier from the training Samples and Labels
K
- K最邻近分类器设计的MATLAB代码，有代码解释-K nearest neighbor classifier design in MATLAB code
rocplot
- ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high spe
Ada_Boost
- adaboost源码Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。-adaboost source is an iterative algorithm Adaboost, the core idea is that a training set for the same training the different classifiers (weak classifier), then
pcaexpressprot
- We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality red
patternMiniPrj
- a code on pattern recognition which has pca as a dimentional reduction and knn as a classifier.
GMMmodelandtheBayesianclassifier
- GMM模型和贝叶斯分类器 用于视频图像的处理-GMM model and the Bayesian classifier for video image processing
program
- Bayes分类器matlab源码，包含两个文件：一个是数据生成，一个是用于分类-Bayes classifier matlab source, contains two files: a data generation, one is used for classification
.net--matlab
- 基于C﹟的 贝叶斯分类器 .net源代码-Bayesian classifier based on C#. Net source code
classifier
- 用matlab实现Part1. 实现一个k近邻分类器，Part 2.实现一个最小二乘分类器，Part 3.实现一个支持向量机分类器，Part 4.在不同数据集上使用交叉验证选择各个算法的参数-Part1. Achieve a k-nearest neighbor classifier, Part 2. Achieve a least-squares classifier, Part 3. Implement a support vector machine classifier, Part 4.
Classifier
- 实现ID3 决策树算法，并使用MATLAB自带的工具箱函数画出决策树生成相应的规则-Achieve ID3 decision tree algorithm, and using MATLAB toolbox function that comes with the decision tree to generate the appropriate rules to draw
Nearest-neighbor-classifier
- 本程序实现了最近邻分类器的K近邻算法。实现方式是使用matlab-This program implements a nearest neighbor classifier K-nearest neighbor algorithm. Implementation using matlab
randomforesttt
- 随机森林分类器，matlab写的，直接可以运行，不需要该任何东西-Random Forest classifier, matlab write, direct run, does not require that anything
BayesClassification-Matlab
- 简单的贝叶斯分类器的Matlab实现，并提供了三个实例-Simple Bias classifier Matlab implementation, and provides three examples
Classifier
- matlab code for id3 decision tr-matlab code for id3 decision tree
knn-softsvm
- knn，最小二乘，softsvm分类器的matlab实现，以及简单的交叉验证等-knn, least squares, soft svm classifier matlab implementation, and simple cross-validation, etc.
Problem 1
- this code write for Bayse classifier in matlab
LEAD
- This toolbox contains programs for the multi-label classifier which explicitly exploits label dependency with Bayesian network structure.