搜索资源列表
MatlabNNR
- matlab 下基于近邻函数值法则的聚类算法-Matlab-based neighbor function of the clustering algorithm rules
KNN(C++)
- knn，即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-knn, k-nearest neighbor pattern recognition algorithm is a relatively simple and classic classification algorithm
expressionsb
- 基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-based on elastic template matching Facial Expression identification procedures. First of all expressions against static image looked gray image
Determining_embedding_dimension_for_phase-space_re
- 假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维-false neighbor approach (False Nearest Neighbor, FNN) for chaotic time series embedding dimension Reconstruction
NearestRecognation
- 程序实现了.net环境下，C++语言的手写数字识别，程序对手写数据进行了去边框处理，采用最近邻法进行了分类-achieved with the program. Net environment, the C language handwritten numeral recognition, procedures for handwritten data to the frame, using nearest neighbor method of classification
knn_map
- 用得最多的是最近邻，此处上传的是K-近邻，即k＝1。matlab环境下的代码。附有实例。-used most often is the nearest neighbor, here is uploaded K-neighbor, k = 1. Matlab environment code. With examples.
LBTree
- 用VC。NET2005实现优秀的最近邻搜索算法LB-TREE的模拟和图形显示。具有建立优良数据结构和搜索功能-VC.NET2005 achieve outstanding nearest neighbor search algorithm LB-TREE simulation and graphics. With excellent data structure and search functions
Classify_Homework
- 模式识别作业——用平均样本法，平均距离法，最近邻法和K近邻法进行分类-pattern recognition operations -- with the average sample, the average distance, nearest neighbor and K-nearest-neighbor classification
knn_demo
- K近邻法的matlab程序，发现大家都在找它！-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
FileLister
- 利用java+corba技术实现远程访问文件系统，模拟网上邻居的功能。-use java corba Remote Access Technology File System, simulated online neighbor function.
NearestNeighbor
- 模式识别问题最近邻算法的matlab实现，简单易懂-nearest neighbor pattern recognition algorithm to achieve the Matlab and easily understood
kmedfilter
- K近邻中值（均值）滤波器 1) 以待处理像素为中心，作一个m*m的作用模板。 2） 在模板中，选择K个与待处理像素的灰度差为最小的像素。 3） 将这K个像素的灰度均值（中值）替换掉原来的像素值。 -K-nearest neighbor median (mean) a filter) for the pixel to be addressed, for a m * m role template. 2) In the template, select and K-pending p
PRAssign
- 脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 Testscr iptRecognition.m：测试代码 scr iptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 -Offlin
knn
- 在visual basic环境下，实现k-nearest neighbor算法。-in visual basic environment, achieving k-nearest neighbor algorithm.
NNP
- 最近点对问题，输入数据生成器自动生成2位点对，输出制定电的最近邻-nearest point of the problem, the input data generator automatically generate two points right, electrical output of the nearest neighbor
NN3
- 主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.
LAN
- 用C++编写的一些局域网网络通信编程实例： 获取网上邻居【\\Neighbor】 lIP地址和计算机名之间的转换【\\Neighbor】 l映射网络驱动器【\\Neighbor】 l消息发送程序Net Send【\\Neighbor】 l获取局域网内其他计算机的信息【\\ NeighborInfo】
Neighbor
- 获取网上邻居 IP地址和计算机名之间的转换 映射网络驱动器 消息发送程序
knn
- 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法，非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法，其基本思想相当直观：Rocchio法来源于信息检索系统，后来最早由Hull在1994年应用于分类[74]，从那以后，Rocchio方法就在文本分类中广泛应用起来。
LearningPatternClassificationASurvey
- 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis t