Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Clustering time se-ries with hidden markov models and dynamic time warp-ing
Clustering Sequences with Hidden Markov Models
Clustering Student Sequential Trajectories Using Dynamic Time Wrapping
Salient Subsequence Learning for Time Series Clustering
Iterative Incremental Clustering of Time Series
Duration and Interval Hidden Markov Model for sequential data analysis
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy
Finding patterns in time series: a dynamic programming approach
Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping
Probabilistic Model-Based Clustering of Multivariate and Sequential Data
A novel approach of hidden Markov model for time series forecasting
Dynamic Mixture Models for Multiple Time-Series
Comparing Time-Series Clustering Algorithms in R Using the dtwclust Package
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
Distance measures for effective clustering of ARIMA time-series
A Study on the Dynamic Time Warping in Kernel Machines
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms
Subspace Clustering for Sequential Data
A Method for Dynamic Clustering of Data
PROCESS MINING WITH SEQUENCE CLUSTERING
Segmenting Time Series: A Survey and Novel Approach
Graphical user interface ( GUI ) testing : Systematic mapping
Targeting the Mitotic Catastrophe Signaling Pathway in Cancer
Psychiatric disorder comorbidity and association with eating disorders in bariatric surgery patients: A cross-sectional study using structured interview-based diagnosis.
Tests of Machine Intelligence
Statistical Learning by 8-Month-Old Infants