Angelos Markos bio photo

Angelos Markos

Data Scientist, Professor, Runner

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Selected Publications

  1. Markos, A., Iodice D’Enza, A., & van de Velden, M. (2018). Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R. Journal of Statistical Software (accepted for publication)

  2. Iodice D’Enza, A., Markos, A., & Buttarazzi, D. (2018). idm: Incremental Decomposition Methods in R. Journal of Statistical Software, Code Snippets, 86(4), 1–24.

  3. Markos, A., & Iodice D’Enza, A. (2017). A Framework for the Incremental Update of the Multiple Correspondence Analysis Solution. Italian Journal of Applied Statistics, 29(2-3), 217–231.

  4. Markos, A., & Iodice D’ Enza, A. (2016). Incremental Generalized Canonical Correlation Analysis. In A. Wilhelm, A. Kestler (eds), Analysis of Large and Complex Data, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 185-194, Springer [Best Paper Award].

  5. Iodice D’ Enza, A., & Markos, A. (2015). Low-dimensional tracking of association structures in categorical data. Statistics and Computing, 25(5), 1009-1022.

Databases: Scopus - Google Scholar - ResearchGate

Software

I am current developer and maintainer of the following R packages

  • clustrd - Joint Dimension Reduction and Clustering in R
  • idm - Incremental Decomposition Methods in R (incremental versions of Principal Components Analysis and Multiple Correspondence Analysis)
  • caGUI - a Tcl/Tk GUI for the functions of the ca package.

and the following standalone software written looong ago in Matlab & Delphi:

  • CHIC Analysis - Correspondence & HIerachical Cluster Analysis
  • Procrustes - Generalized Procrustes Analysis (in Greek)

Full CV: English / Greek

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