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JDCTA
2010

The Application Research of High-dimensional Mixed-attribute Data Clustering Algorithm

8 years 2 months ago
The Application Research of High-dimensional Mixed-attribute Data Clustering Algorithm
High-dimensional mixed-attribute data clustering has become an important research direction in data mining area. Because of the advantages of the information technology, data collection becomes much easier and thus result in the dimensions and complexity of the database are growing much larger. The traditional clustering algorithms are often unable to use these data to obtain good results. This paper presents mixed attributes of a high-dimensional clustering algorithm GA-KP, which has been applied to customer data segmentation of automobile industry collaborative platform. Keywords Data mining , clustering algorithm , Highdimensional mixed-attribute
Lilin Fan, Chunhong Liu, Qian Liu
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JDCTA
Authors Lilin Fan, Chunhong Liu, Qian Liu
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