In this talk we shall describe a method for clustering shapes configurations in two dimensions. Variation in the shape space is obtained by introducing deformations carrying individual landmarks from one to another. The framework, provided by the Information Geometry, is the following. A shape is represented by a probability distribution. Then, a Riemannian metric is defined on the shape space and the length of the geodesics with respect to this metric is used to measure differences in shape.
Monitoring the spatial correlation among functional data stream through Moran’s Index
A. Balzanella
;E. Romano;R. Verde
2017
Abstract
In this talk we shall describe a method for clustering shapes configurations in two dimensions. Variation in the shape space is obtained by introducing deformations carrying individual landmarks from one to another. The framework, provided by the Information Geometry, is the following. A shape is represented by a probability distribution. Then, a Riemannian metric is defined on the shape space and the length of the geodesics with respect to this metric is used to measure differences in shape.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
