基于聚类分析的多维离散数据相关性检测系统设计  

Design of multidimensional discrete data relevance detection system based on cluster analysis

作　　者：方加娟[1,2] 李凯[2] FANG Jiajuan;LI Kai(School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;Department of Software Engineering,Zhengzhou Technical College,Zhengzhou 450121,China)

机构地区：[1]南京理工大学计算机科学与工程学院,江苏南京210094 [2]郑州职业技术学院软件工程系,河南郑州450121

出　　处：《现代电子技术》2020年第21期143-146,共4页Modern Electronics Technique

基　　金：河南省社科联、河南省经团联2015年度调研课题:基于微信环境下的C语言课程的教学研究(SKL-2015-616);河南省社科联、河南省经团联2016年度调研课题:浅析物联网环境下的高职教育教学研究(SKL-2016-2663)。

摘　　要：现有多维离散数据相关性检测系统均存在着检测精度差、可扩展性差的缺陷,为了解决上述问题,引入聚类分析方法对多维离散数据相关性检测系统进行设计。多维离散数据相关性检测系统硬件为数据处理器,由电源单元、通信单元与红外单元组成;软件设计主要分为多维离散数据空间划分模块与多维离散数据相关性检测模块。通过系统硬件与软件的设计,实现了多维离散数据相关性检测系统的运行。通过测试结果可知,与现有多维离散数据相关性检测系统相比,设计的多维离散数据相关性检测系统极大地提升了检测精度与可扩展性,充分说明设计的多维离散数据相关性检测系统具备更好的检测性能。The existing multi⁃dimensional discrete data correlation detection system has the defects of poor detection accuracy and scalability.In order to solve the above problems,the cluster analysis method is introduced to design the multi⁃dimensional discrete data correlation detection system.The hardware of multi⁃dimensional discrete data correlation detection system is a data processor,which consists of power supply unit,communication unit and infrared unit.The software design is mainly divided into multi⁃dimensional discrete data space partition module and multi⁃dimensional discrete data correlation detection module.The operation of multi⁃dimensional discrete data correlation detection system is realized by the design of hardware and software.The test results show that,in comparison with the existing multi⁃dimensional discrete data correlation detection system,the designed multi⁃dimensional discrete data correlation detection system greatly improves the detection accuracy and scalability,which fully demonstrates that the designed system has a better detection performance.

关 键 词：聚类分析 多维离散数据 无线通信 红外单元 相关性检测 可扩展性 

分 类 号：TN710-34[电子电信—电路与系统] G255[文化科学—图书馆学]