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Sparse Exponential Family Principal Component Analysis

We propose a Sparse exponential family Principal Component Analysis (SePCA) method suitable for any type of data following exponential family distributions, to achieve simultaneous dimension reduction and variable selection for better interpretation of the results. Because of the generality of expon...

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Bibliografske podrobnosti
izdano v:Pattern Recognit
Main Authors: Lu, Meng, Huang, Jianhua Z., Qian, Xiaoning
Format: Artigo
Jezik:Inglês
Izdano: 2016
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5210214/
https://ncbi.nlm.nih.gov/pubmed/28066030
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2016.05.024
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