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.