DocumentCode
3419970
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
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
1349
Lastpage
1352
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6309112
Filename
6309112
Link To Document