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
kmeans
- 聚类算法kmeans，比较简单的聚类算法，通过欧几里德距离确定聚类的标准，对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
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
cluster
- 我做的用Kmeans方法，分别采用欧式距离。夹角余弦，和度量函数的方法来表示两点的相似度-I do use Kmeans methods were used Euclidean distance. Angle cosine, and methods of measurement functions to represent the similarity of two
Ployn
- java实现多项式加法，乘法，除法，利用辗转相除法求两个多项式的最大公因子-java achieve polynomial addition, multiplication, division, using Euclidean algorithm for greatest common divisor of two polynomials
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.
java_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.
knn
- 通过比较欧氏距离，定义K值，实现了机器学习中的KNN算法(By comparing Euclidean distance, we define the K value and realize the KNN algorithm in machine learning.)