1 code implementation • 16 Feb 2024 • Hugues Moreau, Étienne Côme, Allou Samé, Latifa Oukhellou
To understand its effects on rail public transport ridership, we propose a dedicated Regression Mixture Model able to perform both the clustering of public transport stations and the segmentation of time periods, while ignoring variations due to additional variables such as the official lockdowns or non-working days.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A new approach for functional data description is proposed in this paper.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A new approach for time series modeling is proposed in this paper.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Hervé Glotin, Allou Samé
We propose a new model-based functional mixture discriminant analysis approach based on a specific hidden process regression model that governs the regime changes over time.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Comparisons with existing approaches for time series clustering, including the stand EM for Gaussian mixtures, $K$-means clustering, the standard mixture of regression models and mixture of Hidden Markov Models, demonstrate the effectiveness of the proposed approach.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
The parameters of the hidden logistic process, in the inner loop of the EM algorithm, are estimated using a multi-class Iterative Reweighted Least-Squares (IRLS) algorithm.
no code implementations • 25 Dec 2013 • Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
The proposed approach can also be regarded as a clustering approach which operates by finding groups of time series having common changes in regime.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A non linear regression approach which consists of a specific regression model incorporating a latent process, allowing various polynomial regression models to be activated preferentially and smoothly, is introduced in this paper.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A new approach for signal parametrization, which consists of a specific regression model incorporating a discrete hidden logistic process, is proposed.
no code implementations • 25 Dec 2013 • Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
This paper proposes a method of segmenting temporal data into ordered classes.