Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data.
Hugo GangloffKatherine MoralesYohan PetetinPublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- sequential data
- markov models
- unsupervised classification
- hidden markov models
- pairwise
- higher order
- markov model
- unsupervised learning
- supervised classification
- conditional random fields
- clustering ensemble
- data clustering
- similarity measure
- semi supervised
- markov random field
- fixed length
- remote sensing data
- maximum entropy
- hyperspectral images
- sequential patterns
- sequence data
- computer vision
- machine learning
- remote sensing images
- pattern discovery
- variable length
- sequential pattern mining
- pattern mining
- model selection
- text classification
- high quality
- clustering algorithm
- information retrieval
- data mining