An Invariant Approach to Statistical Analysis of Shapes

DOI10.1201/9781420036176zbMath0983.62030OpenAlexW2045366578MaRDI QIDQ2724104

Joan T. Richtsmeier, Subhash R. Lele

Publication date: 9 July 2001

Full work available at URL: https://doi.org/10.1201/9781420036176

zbMATH Keywords

classificationdiscriminationmorphometric dataanalysis of shapeslandmark coordinate data

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Mathematical biology in general (92B99)

Related Items (10)

A shape distance based on the Fisher-Rao metric and its application for shapes clustering ⋮ Exploratory methods for the study of incomplete and intersecting shape boundaries from landmark data ⋮ Statistical Analysis of Locally Parameterized Shapes ⋮ Alpha geodesic distances for clustering of shapes ⋮ Topological Analysis of Variance and the Maxillary Complex ⋮ Linear dimension reduction in classification: adaptive procedure for optimum results ⋮ Exploring uses of persistent homology for statistical analysis of landmark-based shape data ⋮ Analysing `simple' image registrations ⋮ On clustering shape data ⋮ A Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications

Uses Software

• R

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