Principal Component Analysis (PCA)

Author:

Kurita Takio

Publisher

Springer US

Reference9 articles.

1. Adbi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2:433–459

2. Bishop CM (2006) Pattern recognition and machine learning. Springer, New York

3. Hotelling H (1933) Analysis of a complex of statistical variables into principal components. J Educ Psychol 61:417–441

4. Murase H, Nayar S (1995) Visual learning and recognition of 3-D objects from appearance. Int J Comput Vis 14:5–24

5. Pearson K (1901) On lines and planes of closest fit to systems of points in space. Lond Edinb Dublin Philos Mag J Sci Sixth Ser 2:559–572

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