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Mori, Y., Yamamoto, Y., & Yadohisa, H. (2003). Data-oriented learning system of statistics based on analysis scenario/story (DoLStat). Bulletin of the International Statistical Institute (ISI), 54th Session Proceedings, Volume LX Two Books, Book 2 (pp. 74-77).

has been cited by the following article:

• TITLE: Teaching PCA through Letter Recognition

  AUTHORS: Tanja Van Hecke

  KEYWORDS: Data Reduction, Eigenvalues, Eigenvectors

  JOURNAL NAME: Creative Education, Vol.2 No.3, August 11, 2011

  ABSTRACT: This article presents the use of a real life problem to reach a deeper understanding among students of the benefits of principal components analysis. Pattern recognition applied on the 26 letters of the alphabet is a recognizable topic for the students. Moreover it is still verifiable with computer algebra software. By means of well defined exercises the student can be guided in an active way through the learning process.