Principal Component Analysis of Phenolic Acid Spectra
نویسندگان
چکیده
منابع مشابه
Principal Component Analysis of Spectra
This paper discusses principal component analysis (PCA) of integral transforms (spectra and autocovariance functions) of time-domain signals. It is illustrated using acoustic emissions from mechanical equipment. It was found that acoustic signals from different stages of operation appeared as distinct clusters in the PCA analysis. The clusters moved when machinery faults were present and the mo...
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The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most relevant information of X. These eigenvectors are called principal components [8]. Ass...
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ژورنال
عنوان ژورنال: ISRN Spectroscopy
سال: 2012
ISSN: 2090-8776
DOI: 10.5402/2012/493203