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응용통계연구 = The Korean journal of applied statistics, v.36 no.2, 2023년, pp.167 - 173
김기풍 (서울대학교 통계학과) , 김충락 (부산대학교 통계학과)
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This paper investigates several methods of visualizing high-dimensional data in a low-dimensional space. At first, principal component analysis and multidimensional scaling are briefly introduced as linear approaches, and then kernel principal component analysis, self-organizing map, locally linear ...
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