Description: This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the K-means algorithm. Output isdirected to the screen. Platform: |
Size: 30720 |
Author:刘思 |
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Description: kmeans 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. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> -kmeans 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. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat- Number of patterns (int) SizeVect- Size of vector (int) NClust- Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect]- vector 1 (real) vect[2,1] ... vect[2,SizeVect]- vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> Platform: |
Size: 3072 |
Author:li |
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Description: K均值算法的一个改进算法，简单实用，但是有点简单。-K-means algorithm of an improved algorithm is simple and practical, but a bit simple. Platform: |
Size: 79872 |
Author:石支柱 |
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Description: 2个举类的简单k-means算法，非常简单，新手给大家提供参考了-two categories give a simple k-means algorithm is very simple, and newcomers to provide a reference to the Platform: |
Size: 3072 |
Author:姜珏 |
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Description: k-means算法，大家可以试试先，有什么好东东大家一起分享-k-means algorithm, we can try first, and have nothing to share with everyone Dongdong Platform: |
Size: 4096 |
Author:zhaiziling |
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Description: 这是K均值算法,采用c语言编写,K的取值为2,大家可以改变K的值来进行测试-This is the K-means algorithm, using c language, K value of 2, we can change the value of K for testing Platform: |
Size: 320512 |
Author:Gang Li |
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Description: k-means算法。包括一个测试的4类的测试数据集。-k-means algorithm. Including a test of the 4 types of test data sets. Platform: |
Size: 4096 |
Author:马晓艳 |
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Description: 基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题-MATLAB based on the k-means algorithm better solved the problem of image classification clustering Platform: |
Size: 1024 |
Author:刘小强 |
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Description: 空间数据分析中最常用的是聚类分析,而K-MEANS算法是聚类分析中常用的,其主要思想是在给定的聚类数目下对多维(我做的是三维空间点)向量进行聚类,-Spatial data analysis is the most commonly used cluster analysis, while the K-MEANS algorithm is commonly used in cluster analysis, the main idea is to set the number of under the multi-dimensional clustering (I make the three-dimensional space-point) vector cluster, Platform: |
Size: 6144 |
Author:tangkezong |
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Description: K—means算法简单应用，适合初学者自学。内有中文解释，简单易懂。-K-means algorithm is simple application, suitable for beginners and self-learning. There are Chinese explanation, easy-to-read. Platform: |
Size: 1024 |
Author:noway |
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Description: 实现了K均值算法，可以对movielens上的数据进行自动分类，给出推荐值，是数据挖掘中的信息推介必要的算法工具。可以直接对movelens的数据进行聚类-Implementation of the K-means algorithm, can movielens on automatic classification of data, recommend give the value of data mining are to promote the necessary information in the instrument of the algorithm. Directly on the Clustering the data movelens Platform: |
Size: 19456 |
Author:张安站 |
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Description: k-means算法的实现，实用matlab是实现的，可以用啦做聚类分析-k-means algorithm for the realization of the practical realization of matlab, so you can use cluster analysis Platform: |
Size: 51200 |
Author:test |
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Description: java实现的k-means算法，具有可视化界面，可以作为数据挖掘的作业处理。-java implementation of the k-means algorithm with a visual interface that can handle a data mining operation. Platform: |
Size: 989184 |
Author:杜以华 |
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Description: K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototype based objective function clustering method. It is the distance from the data point to the prototype as the objective function of the optimization, and the method of using the function to find the extremum is used to get the adjustment rules of the iterative operation. The K-means algorithm takes Euclidean distance as the similarity measure, it is to find the V optimal classification corresponding to an initial cluster center vector, so that the evaluation index J is the smallest. The error square sum criterion function is used as a clustering criterion function.) Platform: |
Size: 1024 |
Author:Daizy7 |
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