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knn_classify
- knn分类算法 遥感图象分类 knn分类算法 遥感图象分类 -knn classify k-nearest neighbor algorithm In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space
K-NN
- 最近邻求解函数极小值，简单方便，易于理解，方便解读。-better for reading，better for righting
04799006
- The authors present an automatic classification of different power quality (PQ) disturbances using wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based classifier. The training data samples are generated using parametric mode
K-NN
- 一个可以分多类的knn程序。用于多类识别特别是高维的图像识别。-A class knn procedure. For many types of identification, especially high-dimensional image recognition.
face.detection
- 脸部识别，将K-NN方法应用到人脸识别上-Face recognition，The K-NN method is applied to face recognition
knn_vb
- In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
knn
- In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space.
cvEucdist
- In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
nn
- 最近邻算法实现 k近邻 Z为训练集，每行一个样本，n*m labZ为与Z对应的类别，列向量 Z_T为测试集，每行一个样本，p*m labZ_T为输出结果,p*1-Nearest-neighbor algorithm
cvEucdist
- distance ecludian for K-nn classification
SerialKNN
- KNN-是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method for classification and regression, that predicts objects "values"
knn-classifier
- K-nn ... classifier . It classifies n order data.
NN
- K-Neirest Neighbours Implementation
KNN_method
- In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression.[1] In both cases, the input consists of the k closest training examples in the feature space. farzanh
K-NN
- calssification algorithm-calssification algorithm66
matlab
- 里边包含了一个如何区分6和9的代码以及用最小距离法、梯度法以及K-NN方法对样本进行的分类代码-Inside contains an example of how to distinguish between 6 and 9, as well as the code with the minimum distance method, the gradient method and K-NN method for sample classification codes
KNN
- K-NN k-Nearest Neighbor classification algorithm-K-NN k-Nearest Neighbor classification algorithm
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
dlib-18.14.tar
- 机器学习的范畴，包括SVMs (based on libsvm), k-NN, random forests, decision trees。可以对任意的数据操作-Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature sel