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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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欧几里德算法又称辗转相除法，用于计算两个整数a,b的最大公约数。分别用C++和JAVA实现。-Euclidean algorithm, also known as division algorithm, used to calculate the two integers a, b the common denominator. Separately using C++ and JAVA implementation.
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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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Java 程序 源码 用辗转相除法求两个整数的最大公因数。-Java source code using Euclidean algorithm for greatest common factor of two integers.
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演算法-透過輾轉相除法求出最大公因數, 再透過最大公因數求最小公倍數,最大公因數(GCD)可以使用輾轉相除法來求，最小公倍數(LCM)則由這個公式來求 :
GCD * LCM = 兩數乘積-Algorithm- through Euclidean division to find the greatest common factor, through the greatest common factor and least common multiple and greatest com
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传统的计算机图形学以欧氏几何学为数学基础，构造规则的几何图形。分形图形学是分形几何学与计算机图形学相结合产生的一门新学科，构造非规则的几何图素，从而实现分形体的可视化以及对自然景物的逼真模拟。利用分形图形的自我相似、自我得制、自我嵌套等特点，可以使用递归算法来生成分形图形。-Traditional computer graphics, mathematical foundations of Euclidean geometry, the geometry of the construction
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密码箱作业：具有可视界面的扩展欧几里得算法-Extended Euclidean algorithm
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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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