Study On The Distribution Of Apple’s Patents Based On Patent Map

Patent map can present a lot of complex information of patent data as visual and intuitive graphical forms, so it has a good guiding function. We summarized patent map’s advantages and shortcomings through analyzing various methods of patent map, further more, we draw a conclusion that it will appear the problem that patent map is difficult to adapt to the large-scale patents’ feature handling problems and dimensionality reduction mapping problem in high latitudes visualization.(1) The patent map clustering method. Feature selection method of clustering using the classic method tends to bring noise data clustering results. Because of the large size of apple patents involving technology widely, characteristic vector dimension is high. The traditional method is difficult to apply. In this paper, we propose an improved clustering algorithm apply to large number of patents and multi-technology category.(2) The visual representation method of patent map. In the traditional self-organizing mapping algorithm for high dimensional patent text is difficult to adapt. In the process of map making, because of the complexity and the diversity of apple’s patent need to explore an effective way of topology adaptive realization of arbitrary dimension input patent category schema into low dimensional discrete map. This paper presents a visual representation method of the patent text for high-dimensional feature.Based the clustering algorithm and self-organized Mapping we proposed a patent map production framework, first we use linguistic model analysis and vector space modal to process patent text, then select features through modified algorithm LTF-IDF to cluster the high-dimensional data down to low-dimensional space effectively, at last, we use self-organizing mapping algorithm to produce patent map based on the result dimensionality reduction mapping. By use of our patent framework, this paper is intended to get the Apple patent application trends and distribution. The results also can help the enterprises in China to understand the overall layout of Apple’s patent, and present us more systematic understanding that the key areas of patent applications and technical developments of Apple.