Hidden Markov Models as Self-Organizing Maps to Exploit Time Dependencies in Data Clustering.
Kejing LiuJavier Garcia-FríasPublished in: CISS (2007)
Keyphrases
- hidden markov models
- data clustering
- self organizing maps
- unsupervised learning
- k means
- competitive learning
- speech recognition
- conditional random fields
- neural network
- clustering algorithm
- cluster analysis
- hidden states
- supervised learning
- sequential data
- image processing
- clustering method
- feature selection
- generative topographic mapping
- continuous hidden markov models
- dimensionality reduction
- learning algorithm
- expectation maximization
- input data
- fuzzy c means
- semi supervised
- gene expression profiles
- data analysis
- image segmentation