Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering.
Yohan JungJinkyoo ParkPublished in: CoRR (2020)
Keyphrases
- data clustering
- gaussian process
- gaussian processes
- hidden markov models
- regression model
- gaussian process regression
- approximate inference
- semi supervised
- model selection
- unsupervised learning
- k means
- bayesian framework
- clustering algorithm
- latent variables
- cluster analysis
- hyperparameters
- non stationary
- information retrieval
- prior knowledge
- similarity measure
- cross validation
- sample size
- maximum likelihood
- bayesian inference
- support vector
- image processing
- computer vision