Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Clustering Method Using Characteristic Points with Marketing Data

마케팅자료에서 특성점들을 이용한 군집방법

  • 문숙경 (목원대학교 정보통계학과) ;
  • 김우성 (목원대학교 정보통계학과)
  • Published : 2004.12.01
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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

References

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