The Application of Probabilistic Principal Component Analysisto Interval-valued Data

碩士 === 淡江大學 === 數學學系碩士班 === 103 === Principal component analysis (PCA) is a widely used dimension reduction method. It is also one of popular research topics in the field of Symbolic Data Analysis (SDA). In this study, we applied the probabilistic PCA (PPCA), an alternative dimension reduction metho...

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Bibliographic Details
Main Authors: Hung-Wen Chou, 周鴻文
Other Authors: Han-Ming Wu
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/35900782521489995712