搜索资源列表
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!
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 te
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 Cr
knn
- 在visual basic环境下，实现k-nearest neighbor算法。-in visual basic environment, achieving k-nearest neighbor algorithm.
K-meanCluster
- How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples random
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.
fknn
- KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现
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。
knn
- k nearest neiborhood in macine learning
events
- * acousticfeatures.m: Matlab scr ipt to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab scr ipt to extract feature information from acoustic event timeseries. * extractevents.m
knn
- KNN K-nearest neighbor rule for classification
Parzen_KNN
- Parzen 窗 和 K近邻法进行概率密度估计 还带一个示波器控件.-Parzen window and K-nearest neighbor method probability density is estimated to bring an oscilloscope control.
最近邻法分类器演示
- 本程序是一个最近邻分类算法的演示程序，本程序完成了三种最近邻的演示并实现算法的分析-this procedure is a nearest neighbor classification algorithm the demo program, the completion of a three- Nearest Neighbor algorithm demonstration and analysis
EmbeddingDimension_FNN
- 假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序 文件夹说明： Main_FNN.m - 程序主函数，直接运行此文件即可 LorenzData.dll - 产生Lorenz时间序列 PhaSpaRecon.m - 相空间重构 fnn_luzhenbo.dll - 假近邻计算主函数 SearchNN.dll - 近邻点搜索 buffer_SearchNN_1.
knn
- 在visual basic环境下，实现k-nearest neighbor算法。-in visual basic environment, achieving k-nearest neighbor algorithm.
MLkNN
- 数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法-Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm
kdtree
- 用matlab实现的kdtree，kdtree适合用于数据挖掘中用于寻找最近邻。-Using matlab to achieve kdtree, kdtree suitable for data mining used to find the nearest neighbors.
b
- 核子空间样本选择方法的核最近邻凸包分类器，不需要账号就可以下载-Nuclear space sample selection methods nuclear convex hull nearest neighbor classifier, no account can download
KNN
- KNN算法用JAVA实现,在WEKA平台上实现-KNN algorithm using JAVA realize, in the WEKA platform realize
KNearestclass
- 使用K近邻算法对一个2维德样本集进行分类，样本集的分布为混合高斯分布。-K nearest neighbor to use a 2 Verde sample set for classification, the distribution of sample set for mixed Gaussian distribution.