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Clustering Method Using Characteristic Points with Marketing Data  

Moon Soog-Kyung (목원대학교 정보통계학과)
Kim Woo-Sung (목원대학교 정보통계학과)
Publication Information
Journal of Korean Society for Quality Management / v.32, no.4, 2004 , pp. 265-273 More about this Journal
Abstract
We got the growth distance curve by spline smoothing method with observed marketing data and the growth velocity curve by the derivation of the growth distance curve. Using this growth velocity curve, we defined the several characteristic points which describe the variation of marketing data. In this paper, to specify several patterns of marketing data, we suggested characteristic function by using these characteristic points. In addition, we applied characteristic function to the seventeen brands of electric home products data.
Keywords
growth velocity curve; characteristic points; characteristic function;
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