Clustering Multivariate Time Series Using Hidden Markov Models

depmixS4: AnRPackage for Hidden Markov Models

(2015) Ingmar Visser et al.   Journal of Statistical Software

Model-Based Clustering of Longitudinal Data: Application to Modeling Disease Course and Gene Expression Trajectories

(2012) A. Ciampi et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Clustering metagenomic sequences with interpolated Markov models

(2010) David R Kelley et al.   BMC BIOINFORMATICS

A review on time series data mining

(2010) Tak-chung Fu   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A global averaging method for dynamic time warping, with applications to clustering

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Modelling Portfolio Defaults Using Hidden Markov Models with Covariates

(2008) Konrad Banachewicz et al.   Econometrics Journal

A New Distance Measure for Model-Based Sequence Clustering

(2008) D. Garcia-Garcia et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A prediction algorithm for time series based on adaptive model selection

(2007) Jiangjiao Duan et al.   EXPERT SYSTEMS WITH APPLICATIONS