Pages that link to "Item:Q516439"
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The following pages link to Bayesian clustering of functional data using local features (Q516439):
Displaying 18 items.
- Functional cluster analysis via orthonormalized Gaussian basis expansions and its application (Q263285) (← links)
- Bayesian change point detection for functional data (Q830722) (← links)
- Adjusting background noise in cluster analyses of longitudinal data (Q1658439) (← links)
- Bayesian classification of multiclass functional data (Q1711597) (← links)
- Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data (Q1740308) (← links)
- Biclustering analysis of functionals via penalized fusion (Q2078535) (← links)
- Bayesian latent factor regression for multivariate functional data with variable selection (Q2131944) (← links)
- A new Dirichlet process for mining dynamic patterns in functional data (Q2293195) (← links)
- Dynamical properties of endomorphisms, multiresolutions, similarity and orthogonality relations (Q2305700) (← links)
- Bayesian clustering of spatial functional data with application to a human mobility study during COVID-19 (Q2686056) (← links)
- Functional Clustering by Bayesian Wavelet Methods (Q3408538) (← links)
- An application of Dirichlet process in clustering subjects via variance shift models: A course-evaluation study (Q5142182) (← links)
- Modeling Time-Varying Random Objects and Dynamic Networks (Q6110737) (← links)
- Bayesian spatial homogeneity pursuit of functional data: an application to the U.S. income distribution (Q6122038) (← links)
- Functional clustering methods for binary longitudinal data with temporal heterogeneity (Q6170537) (← links)
- Fréchet distance-based cluster analysis for multi-dimensional functional data (Q6173555) (← links)
- Bayesian Semiparametric Local Clustering of Multiple Time Series Data (Q6631206) (← links)
- A Bayesian nonparametric approach for clustering functional trajectories over time (Q6657827) (← links)
