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ClusterAlgorithm
- 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
ou
- 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.
KMeans Euclidean Distance
- 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
Method_C
- 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
cPP
- 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
ExtendedEuclid_MMY
- 密码箱作业：具有可视界面的扩展欧几里得算法-Extended Euclidean algorithm
KNN
- 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.