Geometric data analysis

From Wikipedia, the free encyclopedia

Geometric data analysis can refer to geometric aspects of image analysis, pattern analysis and shape analysis or the approach of multivariate statistics that treats arbitrary data sets as clouds of points in n-dimensional space. This includes topological data analysis, cluster analysis, inductive data analysis, correspondence analysis, multiple correspondence analysis and principal components analysis.

[edit] See also

• Combinatorial data analysis
• Structured data analysis (statistics)

[edit] References

• Brigitte Le Roux, Henry Rouanet (2004). Geometric Data Analysis: from Correspondence Analysis to Structured Data. Springer. ISBN 978-1402022357. 
• Michael J. Greenacre, Jörg Blasius (2006). Multiple Correspondence Analysis and Related Methods. CRC press. ISBN 978-1584886280. 
• Approximation of Geodesic Distances for Geometric Data Analysis