Integrating Data Transformation in Principal Components Analysis
نویسندگان
چکیده
منابع مشابه
Integrating Data Transformation in Principal Components Analysis.
Principal component analysis (PCA) is a popular dimension reduction method to reduce the complexity and obtain the informative aspects of high-dimensional datasets. When the data distribution is skewed, data transformation is commonly used prior to applying PCA. Such transformation is usually obtained from previous studies, prior knowledge, or trial-and-error. In this work, we develop a model-b...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2015
ISSN: 1061-8600,1537-2715
DOI: 10.1080/10618600.2014.891461