Clustering Multivariate Time Series Using Hidden Markov Models
In this paper we describe an algorithm for clustering multivariate time series with variables taking both categorical and continuous values. Time series of this type are frequent in health care, where they represent the health trajectories of individuals. The problem is challenging because categoric...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-03-01
|
| Series: | International Journal of Environmental Research and Public Health |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1660-4601/11/3/2741 |