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K-Nearest neighbour algorithm-K - Nearest neighbor algorithm
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用matlab实现的最近邻算法，可以参考一下,Matlab achieved by nearest neighbor algorithm, you can refer to
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DS证据理论matlab 实现的源程序，.m格式的源程序-Implementation of nearest-neighbor algorithm matlab source,. M format of the source
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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
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人脸识别中TensorLDA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition TensorLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码-
Nearest neighbor algorithm for pattern recognition problem of matlab to achieve, can simulate the nearest neighbor method to achieve the core of the code is a good
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最近邻算法结合卡尔曼滤波算法实现多目标跟踪-Nearest-neighbor algorithm for multi-target tracking
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K-PNN Algorithm
a type of k nearest neighbor algorithm
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nearest neighbor algorithm with orl database-nearest neighbor algorithm with orl database
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寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing.
The code was initially
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使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。
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matlab 最近邻算法及文献，随时欢迎下载-matlab nearest-neighbor algorithm and literature, feel free to download
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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
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模式识别中的最近邻算法用matlab实现，简单易懂，并做了实验，用图像表示聚类结果。-The nearest neighbor algorithm for pattern recognition with matlab implementation, simple to understand, and do the experiment, with images that clustering results.
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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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Nearest neighbor algorithm with 10 towns
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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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In this paper, we present two novel class-based
weighting methods for the Euclidean nearest neighbor algorithm
and compare them with global weighting methods
considering empirical results on a widely accepted time series
classification benchm
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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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