Pages that link to "Item:Q2418054"
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The following pages link to Functional data clustering via hypothesis testing \(k\)-means (Q2418054):
Displaying 24 items.
- A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data (Q151074) (← links)
- Clustering multivariate functional data in group-specific functional subspaces (Q160298) (← links)
- Bayesian clustering of functional data using local features (Q516439) (← links)
- Clustering of functional data in a low-dimensional subspace (Q695680) (← links)
- Identifying cluster number for subspace projected functional data clustering (Q901600) (← links)
- Functional factorial \(K\)-means analysis (Q1623660) (← links)
- A divisive clustering method for functional data with special consideration of outliers (Q1630880) (← links)
- A joint latent factor analyzer and functional subspace model for clustering multivariate functional data (Q2172118) (← links)
- Pseudo-quantile functional data clustering (Q2181734) (← links)
- A new distance with derivative information for functional \(k\)-means clustering algorithm (Q2198261) (← links)
- Spatial variability clustering for spatially dependent functional data (Q2361445) (← links)
- Editorial on the special issue on functional data analysis and related topics (Q2418048) (← links)
- Benchmarking different clustering algorithms on functional data (Q2418320) (← links)
- Functional data clustering: a survey (Q2418370) (← links)
- Finding standard dental arch forms from a nationwide standard occlusion study using a Gaussian functional mixture model (Q2515863) (← links)
- Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation (Q2628065) (← links)
- Hypothesis Testing for Multiple Mean and Correlation Curves with Functional Data (Q5109934) (← links)
- Supervised classification of curves via a combined use of functional data analysis and tree-based methods (Q6104427) (← links)
- A fast epigraph and hypograph-based approach for clustering functional data (Q6171766) (← links)
- Fréchet distance-based cluster analysis for multi-dimensional functional data (Q6173555) (← links)
- Interval-valued functional clustering based on the Wasserstein distance with application to stock data (Q6191176) (← links)
- Smoothing regression and impact measures for accidents of traffic flows (Q6571993) (← links)
- Modeling the evolution of deaths from infectious diseases with functional data models: the case of COVID-19 in Brazil (Q6617453) (← links)
- Pooling random forest and functional data analysis for biomedical signals supervised classification: theory and application to electrocardiogram data (Q6628360) (← links)
