搜索资源列表
Myknn
- 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, or k-nearest neighbor algrithom, is a simple and classical classifier algrithom.
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.
EXO2ET3
- K均值算法和K近邻算法，以及用MATLAB实现相关例子。-K-means algorithm and the K-nearest neighbor algorithm, and using MATLAB relevant examples.
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.
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 tem
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
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.-Mainly KNN (the k-nearest neighbor algorithm), LVQ1 (learning vector q
fknn
- KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现-KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab
k1
- 用ｋ近邻法实现图像识别，程序比简单，需要训练集-K neighbor method used to achieve image recognition, the program than the simple need for training set
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。-Naive
knn
- 8个采样点的k近邻算法,结果用语言表示 两个类别-8 sampling points k nearest neighbor, resulting in language that the two categories
Knn
- K最近邻分类的代码，附有输入输出和程序使用说明。-K nearest neighbor classification code, with input and output and procedures for use.
knn
- knn k近邻算法，可选择欧式距离或者曼哈顿距离-knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance
knnaba
- natlab源程序，k近邻的程序，希望对大家有用-natlab source, k neighbor procedure, in the hope that useful
kNN-CUDA-master
- k nearest neighbour code implemented on cuda
A Fuzzy K-Nearest Neighbor Algorithm
- 模糊k近邻的经典理论之作，很详细，大家可以下载(A Fuzzy K-Nearest Neighbor Algorithm)
K近邻互信息计算程序
- matlab用于计算K近邻互信息量程序，多变量相关性(K nearest neighbor mutual information computing program)
image recognition
- 分别采用有边缘和无边缘两类图像作为样本库，使用用Hu不变矩对图像进行特征提取，并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and
K近邻算法
- 此处用python实现机器学习k近邻算法(Implementation of k nearest neighbor algorithm for machine learning)
k-近邻点估计点云法向量
- 利用matlab实现k-近邻点估计点云法向量求解，(Matlab is used to solve the normal vector of k-nearest neighbor point cloud.)