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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
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
knn_demo
- k近邻算法(knn, k nearest neighbor)-k nearest neighbor (knn, k nearest neighbor)
knearest
- MATLAB 小程序，可以实现模式识别中的K近邻算法，已经运行成功，附运行程序结果-MATLAB small programs can be achieved in the K-nearest neighbor pattern recognition, has been running successfully run the program attached to the results of
knniris
- 模式识别中的k近邻算法，用matlab编写，希望对大家有所帮助-K-nearest neighbor algorithm for pattern recognition with matlab write, we want to help
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.
k-nearests-neighbour
- k-近邻算法 m文件 及其excel示范-this package invulved a m-file example of k-nearest neighbour and its corresponding excel file
KNNPandPneighborhoodPclassifier
- 模式识别knn分类器，matlab代码，k近邻算法-knn classifier ，matlab code
KNN_Matlab
- K近邻分类的Matlab算法，简单，适合初学，验证可用-KNN
k_algorithm
- K近邻算法源程序，很有参考价值。可用于聚类算法的相关应用中。-KNN source
K近邻法
- K近邻法对Iris数据分类，输入分类结果和准确率。-K-nearest neighbor method for Iris data classification, enter the classification results and accuracy.
NNC
- K近邻算法，亲测，可运行，手动输入近邻个数(The nearest neighbor algorithm)
kNN
- 通过k近邻算法实现数字识别，主要包含0-9之间的所有数字。(Digital identification is realized by 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)
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.)