MixRHLP_Matlab_v1

Matlab codes for simultaneous functional data clustering and segmentation
52 téléchargements
Mise à jour 28 oct. 2018

This toolbox contains the codes of the expectation-maximization algorithms to infer the mixture models for functional data (time series) clustering and optimal segmentation: mixture of regression models with hidden logistic processes.
For more details, see the papers mentioned in the references sections.
Additional toolboxes for time series segmentation and clustering, unsupervised learning of mixture models will also be provided soon.

Citation pour cette source

Faicel Chamroukhi (2024). MixRHLP_Matlab_v1 (https://github.com/fchamroukhi/MixRHLP_m), GitHub. Récupéré le .

@article{Chamroukhi-RHLP-2009, Author = {Chamroukhi, F. and Sam\'{e}, A. and Govaert, G. and Aknin, P.}, Journal = {Neural Networks}, Number = {5-6}, Pages = {593--602}, Publisher = {Elsevier Science Ltd.}, Title = {Time series modeling by a regression approach based on a latent process}, Volume = {22}, Year = {2009} } @article{Chamroukhi-MixRHLP-2011, Author = {Sam{\'e}, A. and Chamroukhi, F. and Govaert, G{\'e}rard and Aknin, P.}, Issue = 4, Journal = {Advances in Data Analysis and Classification}, Pages = {301--321}, Publisher = {Springer Berlin / Heidelberg}, Title = {Model-based clustering and segmentation of time series with changes in regime}, Volume = 5, Year = {2011} } @article{Chamroukhi-RHLP-FLDA, Author = {Chamroukhi, F. and Sam\'{e}, A. and Govaert, G. and Aknin, P.}, Journal = {Neurocomputing}, Number = {7-9}, Pages = {1210--1221}, Title = {A hidden process regression model for functional data description. Application to curve discrimination}, Volume = {73}, Year = {2010} } @article{Chamroukhi-FMDA-2013, Author = {Chamroukhi, F. and Glotin, H. and Sam{\'e}, A.}, Journal = {Neurocomputing}, Pages = {153-163}, Title = {Model-based functional mixture discriminant analysis with hidden process regression for curve classification}, Volume = {112}, Year = {2013} } @article{Chamroukhi-FDA-2018, Journal = {}, Author = {Faicel Chamroukhi and Hien D. Nguyen}, Volume = {}, Title = {Model-Based Clustering and Classification of Functional Data}, Year = {2018}, note={arXiv:1803.00276v2} }

Compatibilité avec les versions de MATLAB
Créé avec R2016b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version Publié le Notes de version
1.0.0

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.