搜索资源列表
LDA
- LDA:线性判别分析方法。用于实现线性数据降维。采用K近邻分类器对数据进行分类-LDA: linear discriminant analysis method. Used to achieve linear data dimensionality reduction. Using K-nearest neighbor classifier for data classification
Pattern-Recognition2
- 清华模式识别第二次作业，采用dataset2.txt 数据作训练样本，采用身高与体重特征进行性别分类，建立最小错误贝叶斯分类器；2、采用身高体重数据作为特征，以 dataset2.txt 作为训练数据，用 Fisher 线性判别方法设计分类器；3、从多层感知器、SVM、近邻法选择一种方法，进行上述的分类实验；-Tsinghua second operation pattern recognition using dataset2.txt data for training samples, us
lec1
- The p erceptro n algo rithm ceases to update the para meters only when all the training images ar e classified corr e ctly (no mistakes, no update s). So, if the training images are p ossible to clas sify co rrectly with a linear c la ss ifier,
Learning-OpenCV
- 学习openCV的参考代码，有兴趣可以仔细阅读。-Linear machine learning classifier, fitting a linear edge interface code.
LDA-in-matlab
- LDA i.e Linear Discriminant Analysis classifier using Matlab. Which is used for classifying data over a dataset, that is labeled.
FLD
- This a matlab version of Fisher linear discriminant classifier-This is a matlab version of Fisher linear discriminant classifier
CHW4
- Linear Perceptron Classifier and Least Square Classifier Algorithms
24290-tech
- Using adaboost with linear threshold classifier for a two class classification problem.-Using adaboost with linear threshold classifier for a two class classification problem.
Pattern
- 介绍了模板匹配分类器，Bayes分类器，线性函数分类法，非线性函数分类法和神经网络分类法的代码算法，用于识别数学0到9-It describes the template matching classifier, Bayes classifier, a linear function of classification, non-linear function and neural network classification taxonomy code algorithm for identi
cluster
- 聚类算法，包括特征提取 归一化，还有线性和非线性分类器，matlab下调试成功案例-clustering classification algorithm ，it include linear and nonlinear classifier and data preprocessing
FisherFace
- 基于LDA线性辨别分析的人脸识别算法，采用KNN分类器，可直接运行，自带数据库，识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
moshishibie
- 基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
LDA
- 本程序是一个线性判别式分析(LDA)分类器程序.里面有完整的源码-This procedure is a linear discriminant analysis (LDA) classifier program. There is a complete source code
algorithm
- 多线性SVM分类器，在实现分类的同时，能很好的聚类-Multi-linear SVM classifier to classify the same time, can be a good clustering
machine-learning-ex1
- 在模式识别众多分类器中一种根据收敛性质实现的线性回归模型-In many pattern recognition classifier one according to the convergence property of the linear regression model
Fisher-classification
- 这是Fisher线性判别分类器，对一般的图像分类效果不错-This is the Fisher linear discriminant classifier, the general image classification effect is good
5702ab54c2db
- 人工免疫网络实现分类聚类函数寻优，算法不错，希望对大家有用-This is the Fisher linear discriminant classifier, the general classification of the image of a good effect of artificial immune network to achieve classification clustering function optimization, the algorithm is good,
HW5
- Linear SVM classifier with libsvm
qudgment
- 模式识别中,用线性预测分类器实现逻辑与和逻辑或,MATLAB实现-Pattern recognition, the linear prediction classifier is used to implement logic and logic or MATLAB
szquenoedocumentVSAM
- 模式识别中,用线性预测分类器实现逻辑与和逻辑或,MATLAB实现-Pattern recognition, the linear prediction classifier is used to implement logic and logic or MATLAB