Title :
Clustering analysis of complex energy formulation based on k-means
Author :
Wang Dong-lei ; Lu Zhong-hua ; Li Shang-bin ; Wang Yu-feng
Author_Institution :
Inst. of Chem. Mater., China Acad. of Eng. Phys., Mianyang, China
Abstract :
This paper analyzed the insufficient of traditional clustering methods using in complex formula for multidimensional clustering. A definition of ELD distance has been given based on the analysis of the specific characteristics of complex prescription and the results of traditional clustering algorithm. A algorithm named NNELAF has been proposed to solve the problem, and the test result showed that this algorithm could cluster the energy formulation more consistency with expert judgment.
Keywords :
data mining; pattern clustering; ELD distance; NNELAF; complex energy formulation; complex prescription; expert judgment; k-means; knowledge discovery; multidimensional clustering; clustering; explosive; formulation; k-means;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6309112