搜索资源列表
classfy
- 主要应用聚类的思想对物体进行分类（一个分类器）-Thought of the main application clustering to classify objects (a classifier)
SVM
- svms分类器,通过svm的方法来对文本进行分类.-svm classifier
linear-category
- 本程序主要是对线性判别函数分类器进行实现。-Linear discriminant function classifier achieved.
LDA_KNN
- 对随机选择的iris数据，用LDA进行特征提取，然后用K近邻分类器分类的完整程序-Feature extraction using LDA,and perform classification via KNN
PR02
- 介绍贝叶斯分类器的模式识别课程课件，很生动形象，适合初学者-Introduction Bayesian classifier pattern recognition program courseware, very vivid image, suitable for beginners
10[1].1.1.106.2867
- 使用matlab开发软件，通过采用拉普拉斯核分类器，实现道路标志分类。-Using matlab software development, through the use of Laplace nuclear classifier, to achieve classification of road signs.
ASurveyofFeatureSelection
- 本文总结并提出了较为完备的特征提取定义。根据特征子集形成过程将特征选择分为穷举式、启发式和随机式三类 根据特征评价标准将特征选择分为距离浏度、信息测度、相关性浏度、一致性测度和分类器错误率五类。通过分析特征选择的影响因素，提出了选择特征、选择方法应该遵循的原则。 -This paper analyzes and summarizes the previous definition of feature selection, and then introduces a selfcontaine
semi-surpervised_learing
- 对传统的支持向量机分类器的改进,利用了半监督学习的方法，可以极大的提高分类效率。-The traditional support vector machine classifiers is improved with a semi-supervised learning methods, can greatly improve classification efficiency.
VQshow
- 简单的GUI VQ演示！ 平台是MATLAB 非常适合初学者 理解分类器-Simple GUI VQ demo! MATLAB platform is very suitable for beginners to understand the classification
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
bayes
- 利用贝叶斯实现的分类器小程序，显示出按照最小风险和最小误差分类的结果-Bayesian classifier implemented using a small program to show in accordance with the minimum risk and minimum error classification results
ARTMAP
- 该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, it is simple and fast version of fuzzy ARTMAP
KNN0.0_0.0
- 这是用java实现的KNN算法分类器 实现了机器的自动学习与文本自动分类 仅供学习使用-This is a java implementation of the KNN algorithm with classifier achieved the automatic machine learning and text categorization learning to use only
Manual
- AdaBoost分类器的源代码的用户手册， 内有原始代码下载网址。-AdaBoost classifier source code of the user manual, there are source code download link.
activities_of_the_shape_model
- 基于支持向量机分类器的活动形状模型。学术论文。-Support vector machine classifier based on the activities of the shape model. Papers.
BayesClassification
- 贝叶斯分类器的设计，其中包括协方差相等与不等时的两类情况，分类效果很好-Bayesian classifier design, including equal and unequal covariance of two categories, very good classification performance
proj04-01
- 本实验目的是了解非参数估计—Parzen窗估计，对表格3中的数据进行Parzen窗估计和设计分类器.Parzen窗方法：假设区间Rn是一个d维的超立方体，hn表示超立方体的边长，体积为Vn=hnd。-Purpose of this study is to understand the non-parametric estimation-Parzen window estimate of the data in Table 3 Parzen window estimate and design c
Bayesvc01
- 贝叶斯分类器的VC++实现 对初学者非常好用，强烈推荐！-Bayesian classifier VC++ to realize very useful for beginners, highly recommended!
mixtureBNT
- 上传-混合高斯贝叶斯网络分类器，有数据可以直接运行，互相交流，互相学习。-Upload- Gaussian mixture Bayesian network classifier, the data can be directly run, exchange, learn from each other.
Bayes-Iris
- 根据贝叶斯原理设计的一个简单的分类器，利用已知样本数据训练后，分类器就可以对未知样本进行分类。（实验时采用的是Iris数据集。）-According to the design of a simple Bayesian classifier, using the known training sample data, the classifier can classify the unknown samples. (Experiments using the Iris data set.)