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[Other] KMEANS01 DL : 0: This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.-This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.
Date : 2025-12-31 Size : 264kb User : 赵丁香
[Other] KMEANS DL : 0: 经典统计方法：k-means聚类分析源程序-classical statistical methods : k-means clustering source
Date : 2025-12-31 Size : 3kb User : 张进
[Other] K-junzhi DL : 0: 这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane.
Date : 2025-12-31 Size : 209kb User : fun
[Other] K-meaneuclideandistance DL : 0: 这个是采用欧氏距离下的K-means算法的matlab实现-this is the Euclidean distance between the K-means algorithm to achieve the Matlab
Date : 2025-12-31 Size : 5kb User : 李序
[Other] fk-means DL : 0: 数据挖掘中模糊k均值算法，matlab工具编写。-data mining fuzzy k-means algorithm, Matlab tool for the preparation.
Date : 2025-12-31 Size : 4kb User : 明文
[Other] kmean DL : 1: 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
Date : 2025-12-31 Size : 35kb User : fuali
[Other] UseMatlabandCtorealizeKmeans DL : 0: 这是一个用c和matlab编写的程序，用于实现k-means算法-This is a matlab with c and the preparation of the procedures used to implement k-means algorithm
Date : 2025-12-31 Size : 6kb User : 海天
[Other] kmeans DL : 0: k-means源码(K均值聚类算法源码)-k-means source (K-means clustering algorithm source)
Date : 2025-12-31 Size : 8kb User : 安替
[Other] k_means DL : 0: K-MEANS算法: k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。 k-means 算法的工作过程说明如下：首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开-err
Date : 2025-12-31 Size : 3kb User : cz
[Other] K-Means DL : 0: 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
Date : 2025-12-31 Size : 5kb User : nini
[Other] K-means_clustering_demo DL : 0: K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
Date : 2025-12-31 Size : 74kb User : leo
[Other] k-means DL : 0: k均值聚类算法源码聚类算法学习的实例功能-k-means cluster algorithm
Date : 2025-12-31 Size : 3kb User : wueching
[Other] k DL : 0: k平均聚类所谓k均值聚类方法是一种无监督的学习算法，它能用已知类数的数据聚类和预测。-k-average clustter
Date : 2025-12-31 Size : 48kb User : 小屁
[Other] K_means DL : 0: K-means MATLAB源程序，适用于聚类分析的代码-K-means MATLAB programe
Date : 2025-12-31 Size : 7kb User : 黄小成
[Other] K-MEANS DL : 0: 数据挖掘，K-means源码，数据集为iris-Data mining, K-means source code for the iris data set
Date : 2025-12-31 Size : 288kb User : 刘凡
[Other] K-means DL : 0: 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)
Date : 2025-12-31 Size : 2kb User : smile_ljx
[Other] K-means DL : 0: 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)
Date : 2025-12-31 Size : 3kb User : xiaodiaowa
[Other] k-means-master DL : 0: k-means algorithm with matlab test code is very perfect
Date : 2025-12-31 Size : 2kb User : akbari1368
[Other] K---MEANS DL : 0: 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)
Date : 2025-12-31 Size : 77kb User : Sunxiaoying
[Other] k-means程序 DL : 0: 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.)
Date : 2025-12-31 Size : 2kb User : asq109

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