搜索资源列表
knn
- knn分类程序,基于matlab开发 -Commission classification procedure based on the development of Matlab
KNN
- k最近邻分类算法:用C++实现KNN分类
KNN(CSHARP).rar
- 文本分类算法KNN的C#实现源码
knn.rar
- k-nn算法实现分类,模式识别作业,分三类,75个训练集,25个测试集,输出对测试集分类的结果,k-nn classification algorithm, pattern recognition operations are classified into three types, 75 training sets, 25 test set, the output of the test set classification results
classification
- 该程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例,压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
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
- 使用C语言编写的最近邻算法,可以直接运行,算法是对鸢尾花数据进行了分类。-Written in C language using the nearest neighbor algorithm can be run directly, the algorithm is the iris data are classified.
kNN
- kNN分类算法机器学习实战中python测试代码用例(KNN classification algorithm, machine learning, actual combat, python test code, use case)
knn
- 采用KNN(K邻近算法),用matlab平台实现的分类预测算法(Using KNN (K adjacent algorithm), using matlab platform to achieve the classification prediction algorithm)
knn
- k最近邻算法:分类和回归。通过对训练集分类训练模型,验证集用于验证数据的准确性。(K nearest neighbor algorithm: classification and regression. Through the training set classification training model, the verification set is used to verify the accuracy of the data.)
KNN
- KNN算法及实例操作,可以根据提供的答案进行比对。(KNN example and practice)
kNN
- kNN金陵算法算法源文件,包括输入,过程逻辑算法,输出(Algorithm source file)
knn
- 首先对minist数据集进行pca降维,然后对降维后的数据进行KNN分类(First, the Minist data set is reduced by PCA, and then the data of the reduced dimension is classified by KNN)
KNN
- matlab编写的knn分类算法,在训练集中数据和标签已知的情况下,输入测试数据,将测试数据的特征与训练集中对应的特征进行相互比较,找到训练集中与之最为相似的前K个数据,则该测试数据对应的类别就是K个数据中出现次数最多的那个分类。(KNN classification algorithm written by MATLAB)
NMF
- 使用NMF和KNN分类器实现对高维图像的降维处理(use NMF and KNN for high dimensional image)
knn
- 通过比较欧氏距离,定义K值,实现了机器学习中的KNN算法(By comparing Euclidean distance, we define the K value and realize the KNN algorithm in machine learning.)
KNN编程
- matlab实现knn及剪辑KNN,通过自动生成数据集进行knn分类及剪辑KNN分类验证并生成分布图显示。(The KNN and clip KNN are realized by MATLAB. The KNN classification and clip KNN classification are verified by automatically generating data sets, and the distribution map is generated for displa
KNN
- 高光谱图像knn分类算法,在PaviaU和Indianpines数据集上测试(Knn classification algorithm for hyperspectral images, tested on PaviaU and Indianpines datasets)
kNN
- K最近邻(k-Nearest Neighbor,KNN)分类算法,是一个理论上比较成熟的方法,也是最简单的机器学习算法之一。该方法的思路是:在特征空间中,如果一个样本附近的k个最近(即特征空间中最邻近)样本的大多数属于某一个类别,则该样本也属于这个类别。(K-nearest neighbor (KNN) classification algorithm is a relatively mature method in theory and one of the simplest machine
knn分类
- 该文件给出了knn分类算法的r语言实现,如有问题可评论留言,感谢支持~