搜索资源列表
kmeans
- 大规模数据的kmeans聚类,空间复杂度低 -large scale kmeans
KMeans
- 采用C++实现Kmeans聚类算法，距离的计算采用的是欧氏距离。数据集是weka自带的data里面的iris.arff数据集。假设样本所有属性都是数值属性，不考虑分类属性。-C++ implementation Kmeans classic clustering algorithm, the distance is calculated using the Euclidean distance. Data set is data that comes inside weka iris.arff
kmeans-1
- Python 实现的kmeans 算法，很经典的一个算法-Python kmeans
kmeans
- 数据挖掘Kmeans算法C/C++语言实现。 提供接口让使用者可以指定输入输出文件、聚类结果中类别个数、中心点计算方式、初始化方法。-Kmeans,data mining algorithms,C/C++language. Provides the interface so that users can specify the input and output file, type in the number of clustering results, the center of ca
KMEANS
- KMEANS算法的一个封装，可以自行修改达到需要使用的目的。-KMEANS algorithm of a package, you can modify to achieve the purpose required.
kmeans
- 数据挖掘里的经典kmeans算法，已生成exe文件，需要在dos命令里输入参数来运行，不能直接运行cpp文件。详见文件说明。-kmeans algorithm
Kmeans
- Kmeans聚类算法的matlab实现，测试用例使用的是身高和体重（放到.txt文件，从该文件中读取数据），根据身高体重划分为男女两类（上传文件中的sample即为测试例）-Kmeans clustering algorithm matlab implementation, test cases using height and weight (put. Txt file, read from the file data), classified according to height and
kmeans
- function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers
kmeans
- Kmeans clustering algorithme
Kmeans-clustering-algorithm
- kmeans函数：输入为类别数量k和数据矩阵A；输出为聚类结果A，和迭代次数，并将聚类结果数据以excel形式保存在工作路径下-kmeans function: Enter the number of categories k and the data matrix A output of the clustering results A, and the number of iterations, and the results of the clustering data to excel
kmeans
- kmeans clustering algorithm
kmeans.m
- kmeans的实际应用，使用matlab编写-kmeans in matlab
accord-kmeans-demo
- Kmeans demo program for image segmentation-Kmeans demo program for image segmentation
matlab-Kmeans
- 利用matlab实现kmeans聚类算法的简单实现代码-matlab kmens algrithom
Distributed-Kmeans
- 分布式K-means改进算法，一种分布式的Kmeans聚类算法-Distributed K—means Clustering Algorithm
GA-P-Kmeans
- 混合遗传算法和Kmeans的数据聚类程序，对于要做遗传算法改进的人会有很大帮助的！-hybird GA with Kmeans to data clustering
Kmeans
- Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。-Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (
kmeans-and-segment
- 通过Kmeans用来分割道路上行驶车辆的挡风玻璃-Through the Kmeans used to separate road vehicles traveling on the windshield
kmeans
- kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask: clasification image mask -kmeans image segmentation Input: ima: grey color image k: Numbe
KMeans
- KMeans 算法的C++实现代码，通过编译而且可以正常运行-KMeans algorithm