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自己编写的近邻法算法,包括k近邻法、两分剪辑和重复剪辑、压缩算法。在文档中给出了一个简单的算法原理说明,详细参考边肇的《模式识别》。注:里面的分类线绘制算法存在一些问题,仅供大家参考修改。-The nearest neighbor algorithm written by myself, including k nearest neighbor, the two sub-editing and re editing, compression algorithm. The document giv
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采用改进的K最近邻算法对混沌时间序列进行预测-The improved K-nearest neighbor algorithm to predict chaotic time series
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近邻法的基本思想是在测试样本x的k个近邻中,按出现的样本类别来作为x的类别,即先对x的k个近邻一找出它们的类别,然后对x类别进行判别,即在N个训练样本中,找出x的k个近邻。-The basic idea is that neighbors in a test sample x, k-nearest neighbor in categories according to the sample appears as a type of x, ie the first k nearest neighb
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k最近邻分类器。编写的一个matlab函数。输入向量Z表示所属的类,返回一个向量,表示由k最近邻分类给定的。-k nearest neighbor classifier. Write a matlab function. Input vector Z that belongs to the class, returns a vector, expressed by the k nearest neighbor classification given.
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This matlab codes calculates the mutual information and the conditional mutual information based on k-nearest neighbor algorithm.
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k近邻算法,实现机器学习中的回归功能,参数k需要自己选择-k nearest neighbor algorithm to achieve regression in the machine learning field
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模式识别某次课程的作业,完成了高斯分布下的两种贝叶斯分类器,以及非参数的K近邻、Parzen窗方法,采用UCI机器学习数据库中的某些数据作为样本,使用交叉验证方法确定参数-Pattern recognition of a particular course work, completed under the two Gaussian Bayesian classifier, and the non-parametric K-nearest neighbor, Parzen window meth
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K邻域模式识别方法 KNN算法不仅可以用于分类,还可以用于回归。通过找出一个样本的k个最近邻居,将这些邻居的属性的平均值赋给该样本,就可以得到该样本的属性。更有用的方法是将不同距离的邻居对该样本产生的影响给予不同的权值(weight),如权值与距离成正比。-k-Nearest Neighbor algorithm
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K最近邻(k-Nearest Neighbor,KNN)分类算法-K nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm
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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。-a machine learning algorithm
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k近邻分类算法,VC++实现的,验证了正确性-k nearest neighbor classification algorithm, VC++ implementation to verify the correctness
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这个程序是用来寻找每个图像的K近邻的,然后得到了一个权值矩阵-This program is used to find K-nearest neighbor of each image, and then get a weight matrix
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code of implementing the K-Nearest Neighbor method
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knn classifier that indecatw classes of test data according k nearest neighbor algoritm in pattern recognition
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k-nearest neighbor algorithm
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the method of feature extraction using pca and k nearest neighbor for recognition
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k近邻-k nearest neighbor
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源码完成了对数据的K近邻分类,并且可以计算正确率-Source completed the K-nearest neighbor classifier on the data and can calculate the correct rate
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K近邻算法在MATLAB中的通过编写代码来实现的样例-K nearest neighbor algorithm in MATLAB by writing code in the sample achieved
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k近邻算法和KALMAN滤波相结合的一个实例论文-k nearest neighbor algorithm and the KALMAN filter paper an example of combining
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