====== Slides ======
===== Slides of presentations =====

  * Edwin Diday: Introduction to Symbolic Data Analysis and application to post clustering for comparing and improving clustering methods by the “Symbolic Data Table” that they induce. Improved version {{sda:pub:lj-diday_improved.pptx|PPT}}
  * Andrej Srakar, Marilena Vecco: Panel data estimation in regressions for symbolic data: An application to the clustering of cultural entrepreneurial regimes. {{sda:pub:lj-srakar_vecco.pdf|PDF}}
  * Richard Emilion: Estimating a Mixture of Dependent Dirichlet Distributions. {{sda:pub:lj-emilion.pdf|PDF}}
  * Jorge Arce, Oldemar Rodríguez: Optimized symbolic principal components for interval-valued variables. {{sda:pub:lj-arce_rodriguez.pdf|PDF}}
  * Oldemar Rodríguez: Latest developments of the RSDA 2.0. {{sda:pub:lj-rodriguez.pdf|PDF}}; RSDA 2.0. {{sda:pub:lj-rsda2.pdf|PDF}}    
  * Masahiro Mizuta: Meta-analysis and SDA. {{sda:pub:lj-mizuta.pdf|PDF}}
  * Nataša Kejžar, Simona Korenjak-Černe, Vladimir Batagelj: Clustering of symbolic data with relational constraint: Demographic sex-age structures in US and Europe. {{sda:pub:lj-kejzar.pdf|PDF}}
  * Vartan Choulakian: Matrix Decompositions Based on Induced Norms with Applications to Interval Data. {{sda:pub:lj-choulakian.pdf|PDF}}
  * Vladimir Batagelj: Symbolic network analysis of bike sharing data; Citi Bike. {{sda:pub:lj-bikes.pdf|PDF}},{{mem:pub:bikesSDA.pdf|PDF/mem}}

===== Related papers =====

  * Xin Zhang, Scott A. Sisson: Constructing Likelihood Functions for Interval-valued Random Variables. [[https://arxiv.org/abs/1608.00107|arXiv]]
  * Vartan Choulakian: Taxicab Correspondence Analysis of Sparse Contingency Tables. [[https://arxiv.org/abs/1508.06885|arXiv]]



===== Data sets =====

  * [[https://www.citibikenyc.com/system-data|Citi Bike]]


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