Dynamic order Markov model for categorical sequence clustering

Markov models are extensively used for categorical sequence clustering and classification due to their inherent ability to capture complex chronological dependencies hidden in sequential data. Existing Markov models are based on an implicit assumption that the probability of the next state depends o...

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Detalles Bibliográficos
Autores principales: Chen, Rongbo, Sun, Haojun, Chen, Lifei, Zhang, Jianfei, Wang, Shengrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651609/
https://www.ncbi.nlm.nih.gov/pubmed/34900517
http://dx.doi.org/10.1186/s40537-021-00547-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651609/
https://www.ncbi.nlm.nih.gov/pubmed/34900517
http://dx.doi.org/10.1186/s40537-021-00547-2

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