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聚类算法中常用欧氏距离，这篇文章描述了使用加权的方法。-clustering algorithm common Euclidean distance, this article describes the use of weighted method.
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聚类算法是基于距离的，但是大多采取单一的欧氏距离，不利于结果的发现。-clustering algorithm is based on the distance, but most of the adoption of a single Euclidean distance, is not conducive to the discovery of the results.
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模式识别的聚类算法 包括欧氏(Euclidean)距离，绝对值距离，切式距离，明氏距离，马氏距离-Clustering algorithm of pattern recognition, including Euclidean (Euclidean) distance, absolute distance, the distance-cut, Ming' s distance, Mahalanobis distance
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一个用java写的欧几里德距离的kmeans算法，以前做实验自己写的-code of KMeans based on Euclidean Distance
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模式识别C聚类算法 主要采用四种距离 这里的例子是欧氏距离-Pattern Recognition C clustering algorithm mainly uses four kinds of examples here from the Euclidean distance
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a clustering algorithm based on kmean clustering which uses the euclidean distance measure
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Compute distance Matrix by using the Euclidean distance
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实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
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Rapid expansion of random spanning tree algorithm, The commonly used digital signal modulation based on artificial neural network, Calculation of the Euclidean distance between the two matrices.
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Pattern Recognition bayes discriminant analysis algorithm, Clustering analysis based on Euclidean distance, matlab wavelet analysis program.
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wolf calculated Lyapunov exponent, Calculation of the Euclidean distance between the two matrices, cordic matlab simulation algorithm.
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