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计算机应用研究 2005
Parallel Coordinates and Application on Clustering Analysis
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Abstract:
It is one of the important data visualization methods that parallel coordinates present multi-dimensional data. The technica make multi-dimensional data expressed on two dimension plane. The analysis methods that parallel coordinates process datasets have obtain a great progress, such as brushing, exchanging coordinates, abstraction etc. These analysis technica have been applied to many fields of data mining. Especially in clustering analysis, qualitative analysis on datasets demonstrate the rationality of clustering result.