On clustering shape data

DOI10.1080/00949655.2016.1144754OpenAlexW2272654958MaRDI QIDQ5221511

No author found.

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1144754

zbMATH Keywords

clusteringshape spacecluster validationstatistical shape analysisRiemannian distance

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Selection of the number of clusters in functional data analysis ⋮ Multinomial principal component logistic regression on shape data

Uses Software

• R
• fda (R)
• clValid
• shapes

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Mean shapes, projections and intrinsic limiting distributions
• An examination of indexes for determining the number of clusters in binary data sets
• A Monte Carlo study of thirty internal criterion measures for cluster analysis
• Functional data analysis
• Large sample theory of intrinsic and extrinsic sample means on manifolds. I
• The statistical theory of shape
• Large sample theory of intrinsic and extrinsic sample means on manifolds. II.
• Directions and projective shapes
• An Invariant Approach to Statistical Analysis of Shapes
• Functional Analysis of Variance, Discriminant Analysis, and Clustering in a Manifold of Elastic Curves
• Modern Multivariate Statistical Techniques
• k-Means Algorithm in Statistical Shape Analysis
• NUCLEI SHAPE ANALYSIS, A STATISTICAL APPROACH
• Modelling stochastic changes in curve shape, with an application to cancer diagnostics
• Statistical Modeling of Curves Using Shapes and Related Features
• On clustering validation techniques

This page was built for publication: On clustering shape data