论物联网大数据聚类分析方法和技术

Discussion on the Internet of Things Big Data Cluster Analysis Methods and Techniques

在各种类型的大数据技术及物联网技术中,聚类分析构成了核心性与关键性的分析模式。通过运用聚类分析,能划分多层次的对象组,确保其具备近似或者同样的数据属性。近年来,建立于物联网之上的聚类分析已经受到较多关注,适用于处理生物信息、图像分割、自动识别语音、数据挖掘及其他关键性领域。因此,针对聚类分析的根本原理及其技术内容而言,应探求聚类分析与物联网相互融合的必要性,并给出可行性的运用策略。

In various types of big data technologies and IoT technologies,cluster analysis constitutes a core and critical analysis model.Through the use of cluster analysis,it can be divided into multiple levels of object groups to ensure that they have similar or identical data attributes.In recent years,cluster analysis based on the Internet of Things has received more attention and is suitable for processing biological information,image segmentation,automatic speech recognition,data mining,and other key areas.Therefore,in view of the fundamental principle of cluster analysis and its technical content,the necessity of clustering analysis and the integration of the Internet of Things should be explored,and a more feasible application idea should be given according to local conditions.