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Description: samples about clustering in matlab :
K-means algorithm
K-medoids algorithm
DBSCAN algorithm
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Size: 1024 |
Author: sepideh sal |
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Description: 实现K-medoids模糊聚类算法，增加聚类有效性-K-medoids fuzzy clustering algorithm to achieve, increase the effectiveness of clustering
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Size: 27648 |
Author: 武帅 |
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Description: Source Code of K-Medoids
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Size: 2048 |
Author: Shah |
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Description: 传统的K-medoids聚类算法的聚类结果随初始中心点的
不同而波动，且计算复杂度较高不适宜处理大规模数据集；
快速K-medoids聚类算法通过选择合适的初始聚类中心改进
了传统K-medoids聚类算法，但是快速K-medoids聚类算法
的初始聚类中心有可能位于同一类簇。为了克服传统的K-
medoids聚类算法和快速K-medoids聚类算法的缺陷，提出
一种基于粒计算的K-medoids聚类算法。-Traditional clustering K-medoids clustering algorithm with the initial centers
Different swings, and a high degree of computational complexity inappropriate handling large data sets
Fast K-medoids clustering algorithm by selecting appropriate initial cluster centers to improve
The traditional K-medoids clustering algorithm, but fast clustering algorithm K-medoids
The initial cluster centers may be located in the same class clusters. In order to overcome the traditional K-
Medoids defect clustering algorithm and fast K-medoids clustering algorithm,
K-medoids one kind of clustering algorithm based on granular computing.
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Size: 2048 |
Author: 问建丽 |
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Description: K-medoids聚类算法的PYTHON版本，其它语言版本可以根据同一个原理进行改写-K-medoids cluster code in the version of python
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Size: 12288 |
Author: fish |
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Description: Code with matlab of kmedoids clustering-Code with matlab of kmedoids clustering....
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Size: 2048 |
Author: Moorthi |
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Description: k-means和k-mediods的JAVA实现。直接读取文档数据，适用于二维数据。-k-means and k-Medoids clustering algorithm JAVA implementation. Document data read directly,suitable for two-dimensional data.
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Size: 25600 |
Author: fan |
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Description: 传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)
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Size: 2048 |
Author: playboyplay2
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Description: matlab 例程，很简单的且很容易理解的k-medoids聚类算法源代码(Matlab routines, very simple and easy to understand k-medoids clustering algorithm source code)
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Size: 1024 |
Author: playboyplay2
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Description: K-Medoids in Matlab 2011
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Size: 1024 |
Author: playboyplay
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Description: This package is performing the K-medoids clustering algorithm on any data.
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Size: 32768 |
Author: playboyplay
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Description: k -medoids algorithm is a clustering algorithm related to the k -means algorithm and the medoidshift algorithm.
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Size: 52224 |
Author: playboyplay
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Description: 采用MATLAB实现k-medoids聚类算法(Implementation of k-medoids clustering algorithm using MATLAB)
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Size: 1024 |
Author: SMMZ
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Description: k-medoids with matlab is very strong
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Size: 731136 |
Author: akbari1368
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