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K-Nearest neighbour algorithm-K - Nearest neighbor algorithm
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k最邻近算法，经典的分类算法，绝对有帮助-k-nearest neighbour algorithm,it is a classical algorithm for text cluster
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自己的模式识别的作业，matlab实现k近邻算法。-K-Nearest Neighbour algorithm
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data mining k nearest neighbour
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k-nearest neighbour classifier source code
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FAST K-NEAREST NEIGHBORS SEARCH
-FAST K-NEAREST NEIGHBORS SEARCH
Descr iption You can find the descr iption at:
http://www.advancedmcode.org/gltree.html
A Pro Version has been published on:
http://www.advancedmcode.org/gltree-pr
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K nearest neighbour classification.Matlab.
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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
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Compute nearest neighbours (by Euclidean distance) to a set of points of interest from a set of candidate points.
The points of interest can be specified as either a matrix of points (as columns) or indices into the matrix of candidate points.
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用matlab实现KNN算法 用matlab实现KNN算法 -using matlab to implement K-Nearest Neighbour classification. matlab matlab matlab matlab matlab KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN
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采用快速K近邻与Kmeans聚类算法来计算前K个近邻，舍弃了一部分不可能成为待测样本的前K个近邻的训练样本，从而减少了计算量，提高了分类速度-Fast K-nearest neighbor Kmeans clustering algorithm to calculate the K nearest neighbors, abandoning the training samples of the part can not become the first K neighbors of the t
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knn (k nearest neighbour)
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To build knn codes for classification. Supervised learning.
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计算Kraskov估计的互信息值。首先计算各样本的最近邻，然后给出两种互信息值。-computes the Kraskov estimator for the mutual information.k: nearest neighbour.
Output: I1, I2: the two estimator of MI.
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k nearest neighbour code implemented on cuda
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