搜索资源列表
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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 classifer in matlab
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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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This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments. In this work, audio recordi
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The authors present an automatic classification of different power quality (PQ) disturbances using
wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based classifier. The training data
samples are generated using parametric mode
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这个是基于matlab制作的KNN 识别器的写法-This is K-Nearest Neighbour classifier used in pattern recognition.
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自己用matlab编写实现的一个k近邻算法，并有训练和测试数据，能运行。附有注释，简单清晰。-a k-nearest neighbour algorithm developped using matlab.
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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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KNN algorithm source code which allows you to find the k nearest neighbour.
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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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k nearest neighbour code implemented on cuda
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