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.
See also
- Cluster analysis
- Geometric data analysis
- Structured data analysis (statistics)
- Seriation (statistics)
References
Lawrence J. Hubert (1987). Assignment Methods in Combinatorial Data Analysis. Marcel Dekker. ISBN 978-0824776176. 978-0824776176 ↩
Lawrence J. Hubert; Phipps Arabie; Jacqueline Meulman (2001). Combinatorial Data Analysis: Optimization by Dynamic Programming. SIAM. ISBN 978-0898714784. 978-0898714784 ↩
Michael J Brusco; Stephanie Stahl (2005). Branch-and-bound Applications in Combinatorial Data Analysis. Springer. ISBN 978-0387250373. 978-0387250373 ↩