Pages that link to "Item:Q263285"

The following pages link to Functional cluster analysis via orthonormalized Gaussian basis expansions and its application (Q263285):

Displaying 17 items.

• Clustering multivariate functional data in group-specific functional subspaces (Q160298) (← links)
• Functional PCA and base-line logit models (Q269168) (← links)
• Functional principal component analysis via regularized Gaussian basis expansions and its application to unbalanced data (Q1015889) (← links)
• Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data (Q1621277) (← links)
• Model-based clustering for multivariate functional data (Q1621284) (← links)
• Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks (Q2069065) (← links)
• Clustering multivariate functional data using unsupervised binary trees (Q2076137) (← links)
• The approximation algorithm based on seeding method for functional \(k\)-means problem (Q2076447) (← links)
• Co-clustering of multivariate functional data for the analysis of air pollution in the south of France (Q2170392) (← links)
• A joint latent factor analyzer and functional subspace model for clustering multivariate functional data (Q2172118) (← links)
• A new distance with derivative information for functional \(k\)-means clustering algorithm (Q2198261) (← links)
• Independent component analysis for multivariate functional data (Q2293541) (← links)
• Functional data clustering: a survey (Q2418370) (← links)
• A self-organizing clustering algorithm for functional data (Q5088041) (← links)
• Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data (Q6110688) (← links)
• A fast epigraph and hypograph-based approach for clustering functional data (Q6171766) (← links)
• Multivariate functional data clustering using adaptive density peak detection (Q6617513) (← links)