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.

Types of structured data analysis

• Regression analysis
• Bayesian analysis
• Cluster analysis
• Combinatorial data analysis
• Geometric data analysis
• Topological data analysis
• Shape analysis
• Functional data analysis
• Tree structured data analysis
• Formal concept analysis
• Algebraic data analysis

See also

• Data analysis
• Analysis of categorical data
• Dimension reduction
• Group method of data handling
• Exploratory data analysis
• Multilinear subspace learning

References

• Brigitte Le Roux, Henry Rouanet (2004). Geometric Data Analysis: from Correspondence Analysis to Structured Data Analysis. Springer. ISBN 978-1402022357.
• Carlsson, G. (2009) "Topology and Data", Bulletin (New Series) of the American Mathematical Society, 46 (2), 255–308
• Lawrence J. Hubert, Phipps Arabie, Jacqueline Meulman (2001). Combinatorial Data Analysis: Optimization by Dynamic Programming. SIAM. ISBN 978-0898714784.{{cite book}}: CS1 maint: multiple names: authors list (link)
• James O. Ramsay, B. W. Silverman (2005). Functional data analysis. Springer. ISBN 9780387400808.
• Leland Wilkinson, (1992) Tree Structured Data Analysis: AID, CHAID and CART