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SVM
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
xianxingfenleiqi
- 使用线性分类器，实现手写数字0-9识别。-Using a linear classifier, 0-9 handwriting recognition.
Fisher
- 模式识别中Fisher线性分类器的Matlab实现，将随机数分类并人机交互地输入测试点。-Fisher linear classifier in pattern recognition written in Matlab. It generates random sample dots and input test samples via clicking.
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
Fishershiyan
- x1是第一类数据，x2 是第二类数据，每一列代表一个样本（两个特征）。绿色虚线是线性分类器产生的边界；蓝色实线是二次线性分类器产生的边界。-x1 is the first type data , x2 is the second type of data, and each column represents a sample (two features). Green dotted line is the boundary linear classifier generated solid
program
- 用梯度下降算法设计线性分类器，包括原始采集数据，相应的主程序以及sigmoid/代价函数等子程序，最后对分类的精确性进行了预测-Gradient descent algorithm design linear classifier, including the original data collection, appropriate main and sigmoid/cost function and other routines, the final classification accur
linear-classification
- 使用matlab实现一系列分类器，如最小二乘分类器，fisher分类器，logisitic分类器。-Use matlab realize a series of classification, such as least squares classifier, fisher classifier, logisitic classifier.
exp2
- 对Iris数据集应用线性分类器及BP网络分类器进行分类，matlab代码-Iris data set to apply a linear classifier and BP network classifier classification, matlab codes
data_generator
- 大数据的贝叶斯分类线性分类器Large data Bias classification of linear classifier-Large data Bias classification of linear classifier
twoclassflq
- 模式识别线性分类器设计,用C语言写的模式识别大作业。-Pattern recognition linear classifier design, written in C language pattern recognition big job.
c3d2matixgenerate
- 贝叶斯线性分类器作业,模式识别，最小错误率线性分类器-Bayes classification，Linear classifier design，Pattern Recognition
svm-seg
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
Nonlinear-classifier
- 非线性分类器，包括ANN-BP算法的matlab代码实现和性能分析，以及近邻法的实现-Non-linear classifiers, including ANN-BP algorithm matlab code and performance analysis, and nearest neighbor methods to achieve
BLC
- Program to implement bayesian linear classifier for pattern classification
svm
- svm线性分类器-svm linear classifier
Perceptron
- 本实验的目的是学习和掌握两种感知器算法：批处理感知器算法和批处理裕量松弛 算法。感知器算法是通过学习两类已标记的样本，建立一个线性分类器。学习的过程就是求解感知器权系数的过程，人们通过建立一个准则函数J(a),将求解感知器权系数的问题简化为一个标量函数J(a)的极小化问题，即当a为解向量时，J(a)最小。而极小化问题常用梯度下降法来解决。本实验给出了基于梯度下降法的两种感知器算法，介绍了原理并编程实现，最后对两种算法的特点加以比较分析。-The purpose of this study i
Matlab-(Bayers)
- 线性分类器可以实现线性可分的类别之间的分类决策，其形式简单，分类决策快速。但在许多模式识别的实际问题中，两个类的样本之间并没有明确的分类决策边界，线性分类器（包括广义线性分类器）无法完成分类任务，此时需要采用其它有效的分类方法。贝叶斯分类器就是另一种非常常见和实用的统计模式识别方法。-Linear classifier can be realized linearly separable classification decision between classes in the form of
svm_gesture_recognition
- 基于opencv的手势识别 1、hog : hog特征提取 2、hogTainer ： 样本训练，利用了SVM方式 3、gestureRecognition ： 手势识别，利用了训练得出的线性分类器进行识别分类 训练样本在hog文件夹中，对应gesture_a到gesture_e ，五种手势-Gesture recognition 1, hog: hog feature extraction 2, hogTainer: sample training, t
nzpojif
- 学进一步了解分类器的设计概念,能够根据自己的设计对线性分类器有更深刻地认识-Learn the further understanding of the classifier design concept, can according to your own design of linear classifier has a deeper understanding
fustber
- 学进一步了解分类器的设计概念,能够根据自己的设计对线性分类器有更深刻地认识-Learn the further understanding of the classifier design concept, can according to your own design of linear classifier has a deeper understanding