Structured data analysis (statistics)
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
- Formal concept analysis
- Algebraic data analysis
See also
- Data analysis
- Analysis of categorical data
- Dimension reduction
- Group method of data handling
- Exploratory data analysis
References
- Brigitte Le Roux, Henry Rouanet (2004). Geometric Data Analysis: from Correspondence Analysis to Structured Data. Springer. ISBN 978-1402022357.
- TOPOLOGY AND DATA, GUNNAR CARLSSON, BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY, Volume 46, Number 2, April 2009, Pages 255–308, Article electronically published on January 29, 2009
- 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.