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K-means
- k-means有关类, k-means有关类,
K-means
- 针对一维数据集K-means算法的实现， 针对一维数据集K-means算法的实现， 针对一维数据集K-means算法的实现。-k-means
K-means_clustering_demo
- K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
KMeansClusterConsole
- K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
K-means
- K-means K聚类算法的C++语言实现，里面附有使用文档和实例，在VS2005上实现的-K-means K clustering algorithm C++ language, which accompanied with documentation and examples implemented on the VS2005
TDIDF_Demo
- 基于k-means的文本聚类程序实现，希望对大家有帮助！-Based on the k-means clustering procedures for the realization of the text, I hope all of you help!
K_means
- K-means MATLAB源程序，适用于聚类分析的代码-K-means MATLAB programe
K-means
- 简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
K-Means
- 用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
k-means
- k均值聚类算法源码 聚类算法学习的实例功能-k-means cluster algorithm
K-MEANS
- 数据挖掘，K-means源码，数据集为iris-Data mining, K-means source code for the iris data set
K-means
- k-means 算法 step1 初始化K个质心 step2 将所有的点分配给最近的质心 step3 更新质心 step4 若质心都没用变化,则停止,否则返回step2 -k-means algorithm is initialized step1 step2 K a center of mass of all the points assigned to the nearest centroid centroid step3 step4 update no us
K-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
K-Means
- K-means 算法的一种C# 实现,数据挖掘聚类算法-K-MEANS ALGORITHM
K-means
- 用matlab实现k均值算法，不用库函数(Implementation of K mean algorithm)
K-means
- 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
K-means
- 在里面的的是一些关于k-means的东西，用的mnist数据(I try the Mnits data and use K-means to doing the clustering)
k-means-master
- k-means algorithm with matlab test code is very perfect
K---MEANS
- 随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)
k-means程序
- 介绍了k-means 均值聚类，能很好的将离散的点，聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)