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NB
- ：朴素贝叶斯分类器是一种简单而高效的分类器，但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关 系，以及它的被动学习策略，影响了它的分类性能。本文从不同的角度出发，讨论并分析了三种改进朴素贝叶斯分类 性能的方法。为进一步的研究打下坚实的基础。-: Naive Bayesian classifier is a simple and efficient classifier, but its attribute independence assumption that the rea
boost
- boost算法，用于数据模式分析,其原理是机器学习里面的元学习器集成思想，通过弱分类器的集成来实现一个强分类器。-for data pattern analysis.
ganziqifenlei
- 采用神经网络感知器算法对给定的两类样本进行分类,效果显著!-Perceptron neural network algorithm for a given two types of samples for classification, a significant!
bayes
- 基本的Bayes线性分类器算发，可以直接运行，结果显示样本以及分类后情况。-Basic linear Bayes classifier fat count can be run directly, as well as the classification results showed that after the sample.
fisher
- fisher classfier,主要用于模式识别中的分类，是一种常用的线性分类器。其实严格依据fisher准则编写的。-fisher classfier, mainly used for pattern recognition in the classification, is a commonly used linear classifier. In fact, strictly in accordance with guidelines of the fisher.
vec_center
- 基于lewis的类中心向量。类中心向量分类器。基于lewis 的数据集。 -Lewis-based Center for Vector class. Center for Vector-type classifier. Lewis-based data sets.
stateclassifier
- 基于BP神经网络算法实现的状态分类器程序-BP neural network algorithm based on the realization of the state of classifier
SVMDecision
- VM分类器通常具有较高的分类精度。我这里不想过多的去说SVM是怎么回事，只是提供一种使用SVM进行判别的方法。决策树与SVM的结合，可以分多类。-VM classifier usually has a higher classification accuracy. I do not want too much here to say how the matter SVM, SVM is used to provide a method for identification. The combin
recognition
- 用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the prog
SupportVectorMachinesClassifierBasedonModifyingKer
- 以黎曼几何为理论依据，基于S.Amari的修正核函数思想提出了两种新的保角变换，用其对核函数进行数据依赖性改进，进一步提高支持向量机分类器泛化能力。以人工非线性分类问题 为对象进行研究，仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能，而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sid
PatternRecong
- 图像模式识别的各种算法及其编程实现,包括模板匹配分类器、几何分类器和神经网络分类器等，可用于手写数字的识别。-A variety of image pattern recognition algorithm and its programming, including template matching classifier, geometric classifier and neural network classifiers, etc., can be used for handwritte
perception_classification
- 这是一个用VC6.0,基于windows API写的感知机分类器,模式识别中一个最基本的线性分类器.是我本人上完模式识别课后写的,绝对真实!-This is a based-on windows API perception classification program which is developped in the VC6.0. It is the basic linear classification and is written out by me after the class o
20082050
- 用matlab写的感知机,SES,SVM三种分类器，简单易懂，适合初学者-Written by matlab perceptron, SES, SVM three kinds of classifiers, easy to understand for beginners
fisher_matlat
- 简单的分类器的实现，包括最小线性法，贝叶斯、fisher准则等，可以学习借鉴。-fisher matlab
tezhengtiqu
- 为了设计出效果好的分类器，通常需要对原始的测量值集合进行分析，经过选择或变换处理，组成有效的识别特征-In order to design a good classifier results usually requires measurement of the value of a collection of the original analysis, through selection or change treatment, the composition of the identify
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
duofenleiqi
- 多分类器融合的文章muti-classifer 多分类器融合的文章muti-classifer-muti-classifer
J48cv
- 基于决策树的n则交叉验证分类器-based on decision tree cross-validation classifier.....................
network
- 正则化方法分类器，模式识别，matlab-Regularization method classifier, pattern recognition, matlab
19854816mitmatlab
- 包含模式识别里很多函数的实现，分类器，KNN算法等，对学习者很有帮助-Include pattern recognition where a lot of function implementation, classifier, KNN algorithm, useful for learners