搜索资源列表
PatternRecognition
- 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字,包括临时手写的数字,也包括图片中的数字 -Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
vbsensor
- 实现线性分类器的设计,根据线性分类器的特点,利用线性函数来对模式进行分类,编程语言为VB,实现了两类模式的判别。-To achieve a linear classifier design, according to the characteristics of a linear classifier, using a linear function of the mode of classification, programming languages VB, realized the two
linearClassifier
- 模式识别基础算法-线性分类器的源代码 有自动生成分类器和手工绘制分类器两种模式 附测试图片-Based pattern recognition algorithm- linear classifier with automatic source code generation classifier and two modes of hand-drawn classification test image attached
SVM
- 线性支撑矢量机分类器 对模式识别问题中的线性可分问题进行分类-Linear support vector machine classifier pattern recognition problems in the linear separable classification
winnow
- winnow线性分类器关于天气的一个算法-winnow linear classifier algorithm on a weather
perceptron
- 线性分类器设计-感知机算法,对一组数据进行分类,分析w不同时的影响-Linear classifier design- Perceptron Algorithm
the-least-square-error-algorithm
- 线性分类器-最小平方误差算法,对一组数据进行分类,分析b1、b2改变对结果的影响-Linear classifier- the least square error algorithm
svm
- 线性SVM算法设计分类器,对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
GimagepatterclassfiyVC
- 成功完成了模式识别的监督和非监督方法包括:Fisher线性分类器,分级聚类算法等经典算法,程序易懂。-Successfully completed the supervision and unsupervised pattern recognition methods include: Fisher linear classifier, hierarchical clustering algorithms such as classical algorithm, the program easy
SimpleLinearSort
- 用matlab语言写的模式识别中的线性分类器设计 简单的线性分类器设计是模式识别中的重要算法设计-Pattern recognition with matlab language written in a simple linear classifier design a linear classifier design is an important algorithm design for pattern recognition
fisher
- 利用Fisher线性分类器实现的一个小程序,可以从里边提取Fisher算法用于其它应用-Fisher linear classifier achieved using a small program that can extract from the inside Fisher algorithm for other applications
linearclassifier
- 本文设计一个线性的分类器,可以对样本进行正确的分类-This design a linear classifier, can be correctly classified samples
ThedesignofLinearClassifier
- 学习线性分类器,可以自动识别两类数据点,数据点可以有交叉域,或者没有,共使用了三种方法。-Learning the self-learning process of linear classifier, and then design a linear two-class classifier and do some research based on the feature of linear classifier.
threshold_tr
- Training of the basic linear classifier where seperation hyperplane is perpedicular to one dimension.
simplecharrec(III)-update
- 模式识图像处理,用线性分类器实现,判别分类标准-Pattern recognition image processing, linear classifier achieved, identification and classification standards
zonghe
- 线性分类器设计:包括感知机算法,最小二乘法,线性SVM算法(模式识别作业)-Linear classifier design: including perceptron algorithm, least squares, linear SVM algorithm( pattern recognition task)
perceptron
- 感知器 算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 -PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init
Pattern-recognition-experiment
- 基于Fisher线性判别的基因分类器的设计,里面有源程序-Fisher linear discriminant based on the gene classifier design, which has source code
code
- 分类器的实现,线性分类器的有关代码。matlap实现-Classifier to achieve a linear classifier on the code.
question2
- fisher线性分类器训练计算样本错误率,画投影直线-fisher linear classifier training sample error rate calculation, draw a straight line projection