The Error of Principal Component Analysis in Subject Classification

The Error of Principal Component Analysis in Subject Classification

In subject classification, principal component analysis is implemented as an objective and practical validation method, but the real data calculation shows that the result of principal component analysis is not always complied with the real situation. Sometimes, it can be totally messed up. Some pro...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Lihua Feng, Gaoyuan Luo
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Analysis of variance
class
classification
Data mining
Electronic mail
error
Error analysis
Geography
Geology
Insects
Measurement units
Principal component analysis
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Beschreibung
Zusammenfassung:In subject classification, principal component analysis is implemented as an objective and practical validation method, but the real data calculation shows that the result of principal component analysis is not always complied with the real situation. Sometimes, it can be totally messed up. Some problems exist regarding to this classification, while these problems are caused by the nature of principal component analysis itself.
DOI:10.1109/NISS.2009.224