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2rar.rar
- 用matlab写的最近邻和K近邻法分类器，简单易懂，适合初学者,Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners
knn.kmeans.fisher
- 常用的分类方法，包括最近邻（NN），k均值（kmeans），k近邻，Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
KNN_Classifier
- 一个matlab环境下的k近邻分类器,代码中有详细的注释说明,使用方便.-K-Nearest-Neighbor-Classifier MatLab Code
kNN_Matlab
- k-NN classifier in matlab
k-nn
- k-nearest neighbour classifier source code
Knearest
- K近邻方法实现0到9数字的模式识别问题。可扩展性很强，方面实现训练和识别。-K nearest neighbor method to achieve 0 to 9 digit pattern recognition problem. Highly scalable, achieving training and recognition.
moja_PVA_normiran_KNN_koncan
- PCA with K-nn classifier(for pictures)
k_nn_classifier
- k-nn algorithm for classify
10122012-Voice-recognition-LPC-VS-MFCC-with-K-NN.
- Voice recognition LPC VS MFCC with K--Voice recognition LPC VS MFCC with K-NN
cvEucdist
- distance ecludian for K-nn classification
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
knn
- K-nn implemention has written with matlab.
pnn-(2)
- 皮尔逊相关系数的协同过滤算法，基于用户相似度的推荐算法。-pearon K-nn
knn所涉及
- KNN是通过测量不同特征值之间的距离进行分类。它的的思路是：如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的大多数属于某一个类别，则该样本也属于这个类别。K通常是不大于20的整数。KNN算法中，所选择的邻居都是已经正确分类的对象。该方法在定类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。(NN is classified by measuring the distance between the different eigenvalues. It is
K-Nearest Neighbor (K-NN)
- latihan ann for beginer