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Multivariate Statistical Methods－Principal Components Analysis (PCA)
Date Issued
2006
Date
2006
Author(s)
DOI
246246/2006092815540153
Abstract
Described by K. Pearson (1901)
Computing methods by Hotelling (1933)
Objective
To transform the original variables X1,…,Xp into index variables Z1,…,Zp
Z1,…,Zp are linear combinations of X1,…,Xp
Z1,…,Zp are independent and are in order of important
To describe the variation in the data
Computing methods by Hotelling (1933)
Objective
To transform the original variables X1,…,Xp into index variables Z1,…,Zp
Z1,…,Zp are linear combinations of X1,…,Xp
Z1,…,Zp are independent and are in order of important
To describe the variation in the data
Publisher
臺北市:國立臺灣大學農藝學系
Type
learning object
File(s)
No Thumbnail Available
Name
multivariate-10.ppt
Size
921 KB
Format
Microsoft Powerpoint
Checksum
(MD5):e0a59713fa4ed371ed60c6d2daf185a6