Structured data analysis (statistics)
This article is about structure in a dataset. For other uses see Structured data analysis (disambiguation).
Structured data analysis is the statistical data analysis of structured data. This can arise either in the form of an a priori structure such as multiple-choice questionnaires or in situations with the need to search for structure that fits the given data, either exactly or approximately. This structure can then be used for making comparisons, predictions, manipulations etc.[1][2]
Types of structured data analysis
- Algebraic data analysis
- Bayesian analysis
- Cluster analysis
- Combinatorial data analysis
- Formal concept analysis
- Functional data analysis
- Geometric data analysis
- Regression analysis
- Shape analysis
- Topological data analysis
- Tree structured data analysis
References
- ↑ Brigitte Le Roux; Henry Rouanet (2004). Geometric Data Analysis: from Correspondence Analysis to Structured Data Analysis. Springer. ISBN 978-1402022357.
- ↑ Lawrence J. Hubert, Phipps Arabie, Jacqueline Meulman (2001). Combinatorial Data Analysis: Optimization by Dynamic Programming. SIAM. ISBN 978-0898714784.
Further reading
- Carlsson, G. (2009) "Topology and Data", Bulletin (New Series) of the American Mathematical Society, 46 (2), 255–308
- James O. Ramsay; B. W. Silverman (2005). Functional data analysis. Springer. ISBN 9780387400808.
- Leland Wilkinson, (1992) Tree Structured Data Analysis: AID, CHAID and CART
This article is issued from Wikipedia - version of the 11/26/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.