Classification Using Functional Principal Component Analysis for Curve Data
碩士 === 淡江大學 === 統計學系碩士班 === 98 === We propose a best predicted curve (BPC) classification criterion for classifying the curve data. The data are viewed as realizations of a mixture of stochastic processes and each sub-process corresponds to a known class. Under the assumption that all the subprocess...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2010
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Online Access: | http://ndltd.ncl.edu.tw/handle/51208517560864455260 |