Segmentation of High Dimensional Time-Series Data Using Mixture of Sparse Principal Component Regression Model with Information Complexity

This paper presents a new and novel hybrid modeling method for the segmentation of high dimensional time-series data using the mixture of the sparse principal components regression (MIX-SPCR) model with information complexity ([Formula: see text]) criterion as the fitness function. Our approach enco...

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Detalles Bibliográficos
Autores principales: Sun, Yaojin, Bozdogan, Hamparsum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597341/
https://www.ncbi.nlm.nih.gov/pubmed/33286939
http://dx.doi.org/10.3390/e22101170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597341/
https://www.ncbi.nlm.nih.gov/pubmed/33286939
http://dx.doi.org/10.3390/e22101170

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