Self-calibrated approach for fisher discriminant classifier estimation in linear discriminant analysis using linear programming

As far as what we have commonly consider theoretically, data sets always have enough samples and limited features to analyze. For such data, parameters can be substantially refined as the sample size increases toward infinity.  However, the real-world data are more complicated and limited, especial...

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Bibliographic Details
Main Author: Li, Zhaodonghui
Other Authors: PUN Chi Seng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148491
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Institution: Nanyang Technological University
Language: English
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