工业产品设计中的数据可视化研究

Bin Song, Siti Mastura Ishak
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引用次数: 0

摘要

在数据时代的背景下,图形语言面临着更多的机遇和挑战,因此将数据转换为图形语言具有重要的意义。本文主要设计了一套基于数据的智能系统。通过对多维数据可视化的研究,首先对高维数据进行降维处理,从而得到低维数据,然后将低维数据转换为更直观的图形标记类型,使用户能够更直观地理解高维数据。研究结果表明,该系统可以为用户提供最适合的标签类型,为用户节省更多的时间和精力。数据可视化对于不同的用户有着不同的体验,因此让用户尽可能感受到数据透视的有效性是一个非常重要的挑战。目前,机器学习是一个发展中的领域。将两者结合起来是一个很好的研究方向。它不仅可以促进大数据领域的发展,还可以为社会带来更多的财富。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of data visualization in industrial product design
In the background of data era, graphics language meets more opportunities and challenges, so it is of great significance to transform data into graphics language. This paper mainly designs a set of data-based intelligent system. Through the research of multi-dimensional data visualization, firstly, the high-dimensional data is processed to reduce the dimension, so as to get the lower dimensional data, and then the low-dimensional data is transformed into a more intuitive type of graphic markers, so that users can understand the high-dimensional data more intuitively. The research results show that this system can provide users with the most suitable types of tags, and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to let users feel that data perspective is effective as much as possible. At present, machine learning is a developing field. It is a very good research direction to combine the two. It can not only promote the development of big data field, but also bring more wealth to the society.
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