Description: k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient. Platform: |
Size: 1024 |
Author:熊健 |
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Description: 这个是K-Means动态聚类算法的源程序，需要的请下，请多多指教，谢谢！-This is a K- Means clustering algorithm source, the need to please, please exhibitions, thank you! Platform: |
Size: 32768 |
Author:HaicoLi |
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Description: k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism Platform: |
Size: 30720 |
Author:chu na |
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Description: 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。-Data mining algorithms. K-Means clustering algorithm for data mining. The algorithm is a Java language. Platform: |
Size: 41984 |
Author:张志娟 |
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Description: Determination of number of clusters in K-Means Clustering and Application in color image segmenta Platform: |
Size: 25600 |
Author:liuhong |
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Description: 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 Platform: |
Size: 5120 |
Author:chunxiao |
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Description: 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，-JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process, Platform: |
Size: 8192 |
Author:刘年 |
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Description: 这个文件实现了一维数据的K-均值聚类算法，可以直接运行，但不能处理多维的-This file implements a one-dimensional data, K-means clustering algorithm can be directly run, but you can not deal with multidimensional Platform: |
Size: 188416 |
Author:yang |
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Description: k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results. Platform: |
Size: 2048 |
Author:聂风 |
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Description: 典型的K均值聚类方法，用matlab编写，有几个文件，大家可以参考参考。-K-means clustering methods typically used matlab write, there are several files, you can refer to the reference. Platform: |
Size: 2048 |
Author:郑馨 |
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Description: 基于K-means聚类算法的社团发现方法
先定义了网络中节点关联度,并构建了节点关联度矩阵, 在此基础上给出了一种基于 K-means聚类算法的复杂网络社团发现方法。
以最小关联度原则选取新的聚类中心, 以最大关联度原则进行模式归类,直到所有的节点都划分完为止, 最后根据模块度来确定理想的社团数-K-means clustering algorithm based on the association discovery
To define a network node correlation, and build the node correlation matrix in this basis, given a K-means clustering algorithm based on a complex network of associations that way.
The principle of the minimum correlation to select a new cluster center to the principle of maximum correlation pattern classification until all the nodes are divided until the end, the last under the module to determine the degree of the ideal number of community Platform: |
Size: 115712 |
Author:maverick |
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Description: K-means聚类程序，可用于聚类问题，自动产生大量数据，生成聚类图片(K-means clustering program, can be used for clustering problems, automatically generate large amounts of data, generate clustering images) Platform: |
Size: 23552 |
Author:黄老狗
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