응용통계연구 (The Korean Journal of Applied Statistics)

  • 제22권4호
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  • Pages.745-758
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  • 2009
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  • 1225-066X(pISSN)
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  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
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군집분석 비교 및 한우 관능평가데이터 군집화

A Comparison of Cluster Analyses and Clustering of Sensory Data on Hanwoo Bulls

  • 김재희 (덕성여자대학교 정보 통계학과) ;
  • 고윤실 (덕성여자대학교 정보 통계학과)
  • Kim, Jae-Hee (Department of Statistics, Duksung Women's University) ;
  • Ko, Yoon-Sil (Department of Statistics, Duksung Women's University)
  • 발행 : 2009.08.31
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초록

자발적인 군집을 유도하는 다변량 통계기법으로 널리 사용되는 군집분석은 데이터에 기반한 탐색적 방법으로 쓰이며 군집원칙에 따라 여러 가지 방법이 제안되어 왔다. 또한 군집화된 결과에 대하여 유효성을 측정하는 측도도 다양한방법이 개발되었다. 본 연구에서는 계층적 군집분석 방법으로 최장연결법과 Ward의 방법, 비계층적 군집분석 방법으로 K-평균법 그리고 확률분포정보를 활용한 모형기반 군집분석방법을 이용하여 모의실험으로 군집분석을 실시하고 군집유효성 측도로는 연결성, Dunn 지수, 실루엣을 구하여 각 군집방법에 대해 유효성을 비교한다. 또한, 한우 관능평가 데이터에 군집분석을 적용하여 최적의 군집 상황을 구하고자 한다.

Cluster analysis is the automated search for groups of related observations in a data set. To group the observations into clusters many techniques has been proposed, and a variety measures aimed at validating the results of a cluster analysis have been suggested. In this paper, we compare complete linkage, Ward's method, K-means and model-based clustering and compute validity measures such as connectivity, Dunn Index and silhouette with simulated data from multivariate distributions. We also select a clustering algorithm and determine the number of clusters of Korean consumers based on Korean consumers' palatability scores for Hanwoo bull in BBQ cooking method.

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피인용 문헌

  1. Gene Screening and Clustering of Yeast Microarray Gene Expression Data vol.24, pp.6, 2011, https://doi.org/10.5351/KJAS.2011.24.6.1077