CLIQUE聚类分析的广义网络模型：探索中的聚类

Q4 Agricultural and Biological Sciences

International Journal Bioautomation Pub Date : 2019-06-01 DOI:10.7546/IJBA.2019.23.2.000506

Veselina Bureva, Stanislav Popov, V. Traneva, S. Tranev

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引用次数: 6

摘要

聚类分析的目的是找到具有相似特征的对象组。不同的方法已经被开发出来。在目前的研究工作中，研究了任务中的CLIQUE聚类算法。该方法结合了基于子空间网格和基于密度的技术来确定目标簇。利用CLIQUE聚类算法构造了聚类分析的广义网络。所提出的广义网络可用于描述和监控聚类分析中的并行过程。

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Generalized Net Model of Cluster Analysis Using CLIQUE: Clustering in Quest

The purpose of the cluster analysis is to find groups of objects with similar characteristics. Different methods are already developed. In the current research work a CLIQUE: Clustering in quest algorithm is investigated. The presented method combines subspace grid-based and density-based techniques to determine clusters of objects. Generalized net of cluster analysis using CLIQUE: Clustering in quest algorithm is constructed. The presented Generalized net can be used for description and monitoring the parallel processes in the cluster analysis.

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来源期刊

International Journal Bioautomation Agricultural and Biological Sciences-Food Science

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

12 weeks