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Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination

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Publication:782631
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DOI10.1007/s00180-019-00903-0zbMath1482.62020OpenAlexW2949533440WikidataQ127714878 ScholiaQ127714878MaRDI QIDQ782631

William Underwood, Luke Smallman, Andreas Artemiou

Publication date: 28 July 2020

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-019-00903-0

zbMATH Keywords

dimension reductionexponential familyL0 penaltytext data analysis


Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25)


Related Items

A literature review of (Sparse) exponential family PCA, A Poisson equation-based method for 3D reconstruction of animated images


Uses Software

  • Silhouettes


Cites Work

  • Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
  • Joint sparse principal component analysis
  • Probabilistic Principal Component Analysis
  • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  • Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks
  • Unnamed Item
  • Unnamed Item
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