Pages that link to "Item:Q151074"
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The following pages link to A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data (Q151074):
Displaying 18 items.
- gmfd (Q42916) (← links)
- A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data (Q151074) (← links)
- A criterion based on the Mahalanobis distance for cluster analysis with subsampling (Q263330) (← links)
- Functional factorial \(K\)-means analysis (Q1623660) (← 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)
- Regression and subgroup detection for heterogeneous samples (Q2228234) (← links)
- Crisp and fuzzy k-means clustering algorithms for multivariate functional data (Q2271688) (← links)
- (Q2324307) (redirect page) (← links)
- Functional data clustering via hypothesis testing \(k\)-means (Q2418054) (← links)
- Covariance-based clustering in multivariate and functional data analysis (Q2834464) (← links)
- Optimally weighted \(L^{2}\) distance for functional data (Q2927600) (← links)
- Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma (Q6163507) (← 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)
- Functional clustering on a sphere via Riemannian functional principal components (Q6548797) (← links)
- Multivariate functional data clustering using adaptive density peak detection (Q6617513) (← links)
