DPClusSBO: An integrated software for clustering of simple and bipartite graphs
DPClusSBO: An integrated software for clustering of simple and bipartite graphs
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DOI：
10.1016/j.softx.2021.100821
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发表时间：
2021-09-30
期刊：
影响因子：
3.4
通讯作者：
Altaf-Ul-Amin，Md
中科院分区：
文献类型：
--
作者：
Karim，Mohammad Bozlul;Kanaya，Shigehiko;Altaf-Ul-Amin，Md
网络分析特别是图聚类已经成为数据挖掘应用中的一种有用的和重要的技术。它提供了一个数据结构的全局视图，其中密集连接的对象根据其共同属性进行分组。在过去的十年中，各种简单的图聚类和双聚类技术已被广泛使用，但这些算法的实现仍然有限。在这项工作中，我们提出了一个新的集成软件实现的DPPIO和BiPPIO算法，使用Java被用于简单和二分图聚类。我们的目标是提供一个开源工具，提供大量用户友好的选项来深入研究网络数据。该工具将为用户提供基于GUI的设施，用于简单的二分图聚类沿着，以及聚类的过滤和合并、层次节点分析、聚类集之间的节点分布以及大聚类集的全部或部分可视化。我们将此工具命名为DPQSBO，因为它可以用于执行基于密度聚类的简单图和具有重叠属性的二分图的聚类。
Network analysis particularly graph clustering has become a useful and important technique in data mining applications. It provides a global view of data structure where densely connected objects are grouped based on their common properties. Over the past decade, various simple graph clustering and biclustering techniques have been widely used but the implementation of those algorithms remains limited. In this work, we present a new integrated software implementing the DPClusO and BiClusO algorithms using Java to be utilized for simple and bipartite graph clustering. Our aim is to provide an open-source tool with lots of user-friendly options to delve into network data. This tool will provide the user with GUI based facilities for simple and bipartite graph clustering along with filtering and amalgamation of clusters, hierarchical node analysis, node distribution among cluster set and visualization of all or partial portion of a big cluster set. We name this tool DPClusSBO because this can be used to perform Density Periphery based Clustering of Simple and Bipartite graphs with Overlapping property.