Spatio-temporal clustering methods classification
Spatio-temporal clustering methods classification
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发表时间：
2012
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通讯作者：
Hadi Fanaee-T
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作者：
Hadi Fanaee-T
如今，手机、全球定位系统（GPS）和遥感设备等装置正在产生大量的时空数据，因此在这类数据中发现有趣的模式成为了研究人员感兴趣的课题。其中一个课题是时空聚类，它是数据挖掘的一个新的子领域，该领域近期的研究集中在新的方法和途径上，即对先前的方法和解决方案进行调整以适应新问题。在本文中，我们首先定义什么是时空数据以及它与其他类型数据有何不同。然后尝试根据所提出的解决方案对聚类方法以及该领域已完成的工作进行分类。分类是基于这些工作在其解决方案中如何引入和适应时间概念这一事实进行的。
. Nowadays, a vast amount of spatio-temporal data are being generated by devices like cell phones, GPS and remote sensing devices and therefore discovering interesting patterns in such data became an interesting topics for researchers. One of these topics has been spatio-temporal clustering which is a novel sub field of data mining and Recent researches in this area has focused on new methods and ways which are adapting previous methods and solutions to the new problem. In this paper we first define what the spatio-temporal data is and what different it has with other types of data. Then try to classify the clustering methods and done works in this area based on the proposed solutions. classification has been made based on this fact that how these works import and adapt temporal concept in their solutions.