Visualization Method for Technology Theme Map with Clustering

[Objective] This paper tries to improve the mono-color technology topic maps generated with the clustering technique, aiming to enrich the visualization tools. [Methods] We proposed a new model to create technology topic maps with clustering. It used the layout algorithm to collect the topic words, and established the functions for pixel density, class density, as well as color intensity. We also conducted the color rendering based on the class density and color intensity, and obtained the technology topic maps. [Results] We embedded the new algorithm with ItgInsight,a text mining and visualization tool, and examined it with quantum cryptography communication patent data. The proposed method is simple and effective. [Limitations] The generated subject map is not a vector one, and the algorithm's efficiency can be further optimized. [Conclusions] The proposed method integrates clustering information and enhances topic discrimination, which help us create better technology topic maps.