Model-Based Tensor Low-Rank Clustering
From MaRDI portal
Publication:6552543
DOI10.1080/10618600.2023.2205913MaRDI QIDQ6552543
Publication date: 10 June 2024
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A feasible method for optimization with orthogonality constraints
- Tensor Decompositions and Applications
- Covariate-Adjusted Tensor Classification in High-Dimensions
- High-dimensional classification using features annealed independence rules
- Cross: efficient low-rank tensor completion
- Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations
- Maximum likelihood estimation for the tensor normal distribution: Algorithm, minimum sample size, and empirical bias and dispersion
- CHIME: clustering of high-dimensional Gaussian mixtures with EM algorithm and its optimality
- Statistically optimal and computationally efficient low rank tensor completion from noisy entries
- Tensor decompositions for learning latent variable models
- A Direct Estimation Approach to Sparse Linear Discriminant Analysis
- A Multilinear Singular Value Decomposition
- On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,RN) Approximation of Higher-Order Tensors
- An Introduction to Envelopes
- Simultaneous Clustering and Estimation of Heterogeneous Graphical Models
- Tensor SVD: Statistical and Computational Limits
- Multiclass Sparse Discriminant Analysis
- ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching
- Classification With the Matrix-Variate-t Distribution
- Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models
- Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data
- Dynamic Tensor Clustering
- A Framework for Feature Selection in Clustering
- Tensor Regression with Applications in Neuroimaging Data Analysis
- Model Selection and Estimation in Regression with Grouped Variables
- Regularized matrix data clustering and its application to image analysis
- Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction
- A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering
This page was built for publication: Model-Based Tensor Low-Rank Clustering