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Description: 模式识别问题最近邻算法的matlab实现，简单易懂-nearest neighbor pattern recognition algorithm to achieve the Matlab and easily understood
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Author: 马标 |
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Description: 模式识别问题最近邻算法的matlab实现，简单易懂-nearest neighbor pattern recognition algorithm to achieve the Matlab and easily understood
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Size: 1024 |
Author: 马标 |
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Description: 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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Size: 1024 |
Author: Densic |
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Description: 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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Size: 19456 |
Author: 丑力 |
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Description: 图像最近邻算法 使用5近邻 取最小的前五个作为待测例-NearestNeighbor
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Size: 1024 |
Author: 冰 |
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Description: 用C编写的一个求最近点对的算法，不是很实用，但是对刚开始学习算法的人可能会有点帮助-C code .i wish this can do a little help to your study.
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Size: 2048 |
Author: 刘欢 |
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Description: 最近邻聚类算法,本程序利用图示来显示聚类之后的结果，效果直观-NearestNeighbor algorithm
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Author: 董巍 |
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Description: java KNN 算法源码:
邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法可以说是整个数据挖掘分类技术中最简单的方法了。所谓K最近邻，就是k个最近的邻居的意思，说的是每个样本都可以用她最接近的k个邻居来代表。
kNN算法的核心思想是如果一个样本在特征空间中的k个最相似的样本中的大多数属于某一个类别，则该样本也属于这个类别，并具有这个类别上样本的特性。该方法在确定分类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。 kNN方法在类别决策时，只与极少量的相邻样本有关。由于kNN方法主要靠周围有限的邻近的样本，而不是靠判别类域的方法来确定所属类别的，因此对于类域的交叉或重叠较多的待分样本集来说，kNN方法较其他方法更为适合。-javaKNN 算法源码
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Author: lotes |
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Description: 邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。所谓K最近邻，就是k个最近的邻居的意思，说的是每个样本都可以用它最接近的k个邻居来代表。
kNN算法的核心思想是如果一个样本在特征空间中的k个最相邻的样本中的大多数属于某一个类别，则该样本也属于这个类别，并具有这个类别上样本的特性。该方法在确定分类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。 kNN方法在类别决策时，只与极少量的相邻样本有关。由于kNN方法主要靠周围有限的邻近的样本，而不是靠判别类域的方法来确定所属类别的，因此对于类域的交叉或重叠较多的待分样本集来说，kNN方法较其他方法更为适合。-Nearby algorithm, or K-nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of classification data mining technology in the most simple way. The so-called K-nearest neighbor is the k nearest neighbors meant to say is that it can be used for each sample k nearest neighbors to represent. kNN algorithm core idea is that if a sample in feature space is k-nearest neighbor samples most belong to a category, the sample also fall into this category, and the category having the characteristics of the sample. The method in determining the classification decision based solely on the nearest one or several samples to determine the category to be sub-sample belongs to the category. kNN method when category decisions, with only a very small amount of adjacent samples related. Because kNN method is mainly limited by the surrounding adjacent samples, rather than the domain identification method to determine the class belongs to the category, so for class field of overlap or more s
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Author: 黑色地位 |
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Description: matlab K-临近算法分类，对两组数据分成样本集和测试集进行分类判别，最后得出准确率
K-NearestNeighbor K-临近算法
dataA 数据集A
dataB 数据集B
pca 是否进行pca降维(0 or 1)
metric 距离类型(pdist2)
K -K- approaching classification algorithm, data is divided into two groups of samples and test sets are classified discrimination, the conclusion that the accuracy of K-NearestNeighbor K- near algorithm dataA dataset A dataB dataset B pca pca whether dimensionality reduction (0 or 1) metric distance type (pdist2) K .....
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Author: 田田田 |
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Description: 邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。所谓K最近邻，就是k个最近的邻居的意思，说的是每个样本都可以用它最接近的k个邻居来代表。(Neighborhood algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in data mining classification technology. The so-called K nearest neighbor, that is, k the nearest neighbor's meaning, that is, each sample can use it to the nearest k neighbors to represent.)
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Author: 折夏
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Description: 运用java 语言简单实现knn算法，邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(Using java language simple implementation of KNN algorithm, neighbor algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods of data mining classification technology)
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Author: 武林至尊
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Description: KNN分类，图像处理，(kNN，k-NearestNeighbor），数据挖掘(k-NearestNeighbor is a kind of algorithm of Data mining)
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Size: 1024 |
Author: LK_2017
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Description: 机器学习算法，包括knn等，K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。(machine learning algorithm)
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Size: 71680 |
Author: wobugaiwangming
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Description: 采用最近邻法对图像进行插值，进行n倍的缩放，有示例图片，有注释，可运行，欢迎交流。(Using the nearest neighbor method for image interpolation, n times zoom, there are examples of pictures, notes, can run, welcome exchanges.)
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Size: 6144 |
Author: 明日萌
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Description: 邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(The adjacent algorithm, or the K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in the data mining classification technique)
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Size: 1024 |
Author: 壶中月色凉
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