Combinatorial data analysis explained

In statistics, combinatorial data analysis (CDA) is the study of data sets where the order in which objects are arranged is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or to search for a suitable combinatorial construct that does fit the data.^{[1] [2] [3]}

See also

• Cluster analysis
• Geometric data analysis
• Structured data analysis (statistics)
• Seriation (statistics)

Notes and References

1. Book: Lawrence J. Hubert . Assignment Methods in Combinatorial Data Analysis . Marcel Dekker . 1987 . 978-0824776176.
2. Book: Lawrence J. Hubert . Phipps Arabie . Jacqueline Meulman . Jacqueline Meulman . Combinatorial Data Analysis: Optimization by Dynamic Programming . SIAM . 2001 . 978-0898714784.
3. Book: Michael J Brusco . Stephanie Stahl . Branch-and-bound Applications in Combinatorial Data Analysis . Springer . 2005 . 978-0387250373.