搜索资源列表
Myknn
- knn,即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Knn, or k-nearest neighbor algrithom, is a simple and classical classifier algrithom.
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.
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_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
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
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
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.)
kNN
- K近邻算法,即是给定一个训练数据集,对新的输入实例,在训练数据集中找到与该实例最邻近的K个实例(也就是上面所说的K个邻居), 这K个实例的多数属于某个类,就把该输入实例分类到这个类中(K nearest neighbor algorithm function)
Ch02
- k 近邻算法采用测量不同特征值之间的距离的方法进行分类(K nearest neighbor algorithm uses the method of measuring the distance between different eigenvalues to classify)
knn
- K近邻算法用于特征提取后的分类,是一种常用分类算法,欢迎各位指正(K nearest neighbor algorithm for classification)
knn
- #k-近邻算法 实现 KNN 分类算法 # 对未知类别属性的数据集中的每个点依次执行以下操作: # (1)计算已知类别数据集中的点与当前点之间的距离 # (2)按照距离递增次序排序 # (3)选取与当前点距离最小的K个点 # (4)确定前K个点所在类别的出现频率 # (5)返回前K个点出现频率最高的类别作为当前点的预测分类(#k-Nearest Neighbor ,
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)
基于ASM和K近邻算法的人脸脸型分类_张倩
- 针对人脸特征分类问题,提出一种基于主动形状模型(ASM)和 K 近邻算法的人脸脸型分类方法。将 Hausdorff 距离作为 K 近邻算法的距离函数,利用 ASM 算法提取待测图像的特征点,对点集进行归一化后计算人脸轮廓特征点与样本库中所有样本点集的 Hausdorff距离,根据该距离值,通过 K 近邻算法实现待测图像的脸型分类。实验结果证明,该方法分类正确率高、速度快、易于实现。(Aiming at the problem of fa