摘要
常规的数据聚类分析方法主要以设定阈值的方式分析,数据随机性较大,导致聚类分析效果不佳,故设计基于云计算技术的网络信息数据聚类分析方法。首先,提取网络信息数据的聚类特征,避免网络信息数据的随机性分析;其次,利用云计算技术处理网络数据,并构建网络信息数据聚类分析模型,进一步分析数据的有效性;最后,进行对比分析。实验结果表明,该方法的聚类分析效果更佳,具有较高的推广价值。
The conventional data clustering analysis method mainly adopts the method of setting threshold value.The randomness of data is large,which leads to poor clustering analysis effect.Therefore,the network information data clustering analysis method based on cloud computing technology is designed.Firstly,the clustering features of network information data are extracted to avoid the randomness analysis of network information data.Secondly,use cloud computing technology to process network data,and build a network information data clustering analysis model to further analyze the effectiveness of data.Finally,a comparative analysis is made.The experimental results show that this method has better clustering analysis effect and higher popularization value.
作者
龚嘉瑶
王钟庄
GONG Jiayao;WANG Zhongzhuang(Nanchang University College of Science and Technology,Gongqingcheng Jiangxi 330200,China)
出处
《信息与电脑》
2023年第3期16-18,共3页
Information & Computer
关键词
云计算技术
网络信息数据
聚类分析方法
数据节点
cloud computing technology
network information data
cluster analysis method
data node
