搜索资源列表
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
data_generator
- Java applet that allows to create a customised spatial data set for clustering, by clicking with the mouse in a panel. Data coordinates appear in the right box and a matrix of Euclidean/ cosine distances between the points can be calculated by select
Common-factor
- 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.
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.