基于MATLAB机器学习的数据预处理研究  

Research on Data Preprocessing Based on MATLAB Machine Learning

作　　者：朱箫 沈晓菁 ZHU Xiao;SHEN Xiaojing(Xingning Construction Investment Group Co.,Ltd.,Ninghe District,Tianjin,301500 China;Jing-Jin Technology Valley Co.,Ltd.,Tianjin,301700 China)

机构地区：[1]天津市宁河区兴宁建设投资集团有限公司,天津301500 [2]京津科技谷产业园有限公司,天津301700

出　　处：《科技资讯》2024年第17期19-22,共4页Science & Technology Information

摘　　要：数据预处理在机器学习中起着至关重要的作用,但在大规模数据集中,传统的预处理方法可能面临处理速度慢、效率低下的问题。为了解决这一问题,目前主要采用并行计算技术加速数据预处理的方法。首先,介绍了数据预处理在机器学习中的重要性,以及MATLAB在机器学习中的应用。其次,详细介绍了常见的数据预处理方法,探讨了如何利用并行计算技术加速数据预处理流程,并通过实验验证了并行计算技术在加速数据预处理中的有效性,实验结果表明:使用并行计算技术可以显著减少数据预处理的时间、提高处理效率。最后,总结了实验结果,并提出了未来工作的展望和建议。Data preprocessing plays a crucial role in machine learning,but in large-scale datasets,traditional prepro⁃cessing methods may face problems such as slow processing speed and low efficiency.To solve this problem,Parallel Computing technology is currently mainly used to accelerate data preprocessing.Firstly,the importance of data pre⁃processing in machine learning is introduced,as well as the application of MATLAB in machine learning.Then,common data preprocessing methods are introduced in detail,and how to use Parallel Computing technology to ac⁃celerate the data preprocessing process is discussed.The effectiveness of Parallel Computing technology in accelerat⁃ing data preprocessing has been verified through experiments.The experimental results show that using Parallel Computing technology can significantly reduce data preprocessing time and improve processing efficiency.Finally,the experimental results are summarized,and prospects and suggestions for future work are proposed.

关 键 词：数据预处理 机器学习 MATLAB 并行计算技术 

分 类 号：N39[自然科学总论]