Principal component analysis for interval-valued observations
نویسندگان
چکیده
منابع مشابه
Principal component analysis for interval-valued observations
One feature of contemporary datasets is that instead of the single point value in the p-dimensional space R seen in classical data, the data may take interval values thus producing hypercubes in R . This paper studies the vertices principal components methodology for interval-valued data; and provides enhancements to allow for so-called ‘trivial’ intervals, and generalized weight functions. It ...
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ژورنال
عنوان ژورنال: Statistical Analysis and Data Mining: The ASA Data Science Journal
سال: 2011
ISSN: 1932-1864
DOI: 10.1002/sam.10118