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matlab K近邻分类法
- matlabK近邻法实现
K-近邻法
- 用于模式识别
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
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.
bayes_k_nn
- 求Weighted/Non-weighted贝叶斯k近邻模型的matlab程序，内含具体说明。-seeking Weighted/Non-weighted k neighbors Bayesian model matla b procedures, containing details.
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.
K_NN
- k近邻（k_nn)算法在图象处理中的应用,visual C#-k neighbors (k_nn) image processing algorithms in the application, visual C#
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 tem
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
knearest
- k近邻算法的c++实现，在vs2003上编译通过-k neighbor algorithm c++ realize, in the VS2003 compiled through
k-meansjava
- 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，-JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
code_knn
- K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
knn
- k近邻问题，我自己做的，效果有保证，还有测数据-k neighbor problem, I do, the effect is guaranteed, as well as measured data
ClassifyHomework
- 模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
Knearestneighbor
- k近邻统计分类器对于大家做科研室很有帮助-kneighbor classfier
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)
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.)