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Preliminary study on cluster methods for geometric shape based on correlation graph

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4 Author(s)
Wei Wang ; Fac. of Resources & Environ. Sci., Hubei Univ., Wuhan, China ; Cong Quan ; Jin He ; Xinsheng Wang

On study for geographic information science, description and measurement for shape of spatial objects is a very important research subject. But current methods used in this field all have some limitations. In this paper the authors discuss a new method to solve the problem better. The authors also put forward a new association matrix-Angular Matrix, which can represent geometric shape in a better way. Preliminary experiment shows that this method can express characteristics of geometric shape better with desirable calculation efficiency.

Published in:

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Date of Conference:

21-23 April 2012

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