Add to ORKGThe problem of clustering functional data is addressed. Results on principal points (cluster means for probability distributions) are given for functional Gaussian distributions. Examples and simulations are provided to illustrate results
International audienceModel-based clustering is considered for Gaussian multivariate functional data...
In this work we propose a multivariate functional clustering technique based on a distance which gen...
With the emergence of numerical sensors in many aspects of every- day life, there is an increasing n...
The problem of clustering functional data is addressed. Results on principal points (cluster means f...
[[abstract]]A novel multivariate k-centers functional clustering algorithm for the multivariate func...
[[abstract]]We propose a multivariate k-centers functional clustering algorithm for the multivariate...
In this paper we propose a novel clustering method for functional data based on the principal curve ...
International audienceComplex data analysis is a central topic of modern statistics and learning sys...
Functional data clustering procedures seek to identify subsets of curves with similar shapes and est...
[[abstract]]This study considers two clustering criteria to achieve difierent goals of grouping simi...
Classification is a very common task in information processing and important problem in many sectors...
A functional clustering (FC) method, "k"-centres FC, for longitudinal data is proposed. The "k"-cent...
Functional data can be clustered by plugging estimated regression coefficients from individual curve...
In this work we propose a multivariate functional clustering technique based on a distance which ge...
"In this paper, we consider two clustering strategies in order to explore spatial. relations among f...
International audienceModel-based clustering is considered for Gaussian multivariate functional data...
In this work we propose a multivariate functional clustering technique based on a distance which gen...
With the emergence of numerical sensors in many aspects of every- day life, there is an increasing n...
The problem of clustering functional data is addressed. Results on principal points (cluster means f...
[[abstract]]A novel multivariate k-centers functional clustering algorithm for the multivariate func...
[[abstract]]We propose a multivariate k-centers functional clustering algorithm for the multivariate...
In this paper we propose a novel clustering method for functional data based on the principal curve ...
International audienceComplex data analysis is a central topic of modern statistics and learning sys...
Functional data clustering procedures seek to identify subsets of curves with similar shapes and est...
[[abstract]]This study considers two clustering criteria to achieve difierent goals of grouping simi...
Classification is a very common task in information processing and important problem in many sectors...
A functional clustering (FC) method, "k"-centres FC, for longitudinal data is proposed. The "k"-cent...
Functional data can be clustered by plugging estimated regression coefficients from individual curve...
In this work we propose a multivariate functional clustering technique based on a distance which ge...
"In this paper, we consider two clustering strategies in order to explore spatial. relations among f...
International audienceModel-based clustering is considered for Gaussian multivariate functional data...
In this work we propose a multivariate functional clustering technique based on a distance which gen...
With the emergence of numerical sensors in many aspects of every- day life, there is an increasing n...