A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering (Q6110724)

scientific article; zbMATH DE number 7707821

Language	Label	Description	Also known as
English	A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering	scientific article; zbMATH DE number 7707821

Statements

instance of

scholarly article

0 references

title

A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering (English)

0 references

0 references

0 references

0 references

0 references

Journal of the American Statistical Association

0 references

publication date

6 July 2023

0 references

full work available at URL

https://arxiv.org/abs/2012.10032

0 references

https://figshare.com/articles/journal_contribution/A_Doubly-Enhanced_EM_Algorithm_for_Model-Based_Tensor_Clustering_/14241950

0 references

zbMATH Keywords

clustering

0 references

the EM algorithm

0 references

Gaussian mixture models

0 references

Kronecker product covariance

0 references

minimax

0 references

tensor

0 references

MaRDI profile type

MaRDI publication profile

0 references

cites work

Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data

0 references

Statistical guarantees for the EM algorithm: from population to sample-based analysis

0 references

Model-Based Gaussian and Non-Gaussian Clustering

0 references

Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

0 references

Adaptive estimation in structured factor models with applications to overlapping clustering

0 references

Model assisted variable clustering: minimax-optimal recovery and algorithms

0 references

A Direct Estimation Approach to Sparse Linear Discriminant Analysis

0 references

CHIME: clustering of high-dimensional Gaussian mixtures with EM algorithm and its optimality

0 references

Optimal rate of convergence for finite mixture models

0 references

Convex biclustering

0 references

Q5149011

0 references

On Tensors, Sparsity, and Nonnegative Factorizations

0 references

Intelligent choice of the number of clusters in \(K\)-means clustering: an experimental study with different cluster spreads

0 references

Dimensionality Reduction for k-Means Clustering and Low Rank Approximation

0 references

Q4139463

0 references

The mle algorithm for the matrix normal distribution

0 references

Singularity, misspecification and the convergence rate of EM

0 references

High-dimensional classification using features annealed independence rules

0 references

Selection of the number of clusters via the bootstrap method

0 references

Separable factor analysis with applications to mortality data

0 references

Model-Based Clustering, Discriminant Analysis, and Density Estimation

0 references

The elements of statistical learning. Data mining, inference, and prediction

0 references

Estimating the Number of Clusters Using Cross-Validation

0 references

A non-parametric method to estimate the number of clusters

0 references

Regularized matrix data clustering and its application to image analysis

0 references

Pairwise Variable Selection for High-Dimensional Model-Based Clustering

0 references

Q4935984

0 references

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models

0 references

Tight Bounds for Learning a Mixture of Two Gaussians

0 references

Strong identifiability and optimal minimax rates for finite mixture estimation

0 references

Separable covariance arrays via the Tucker product, with applications to multivariate relational data

0 references

Multilinear tensor regression for longitudinal relational data

0 references

Learning mixtures of spherical gaussians

0 references

Approximation Algorithms for Tensor Clustering

0 references

Efficiently learning mixtures of two Gaussians

0 references

Tensor Decompositions and Applications

0 references

Biclustering via Sparse Singular Value Decomposition

0 references

Tensor-on-Tensor Regression

0 references

Multiclass Sparse Discriminant Analysis

0 references

A direct approach to sparse discriminant analysis in ultra-high dimensions

0 references

Maximum likelihood estimation for the tensor normal distribution: Algorithm, minimum sample size, and empirical bias and dispersion

0 references

Q3174113

0 references

Covariate-Adjusted Tensor Classification in High-Dimensions

0 references

Convex regularization for high-dimensional multiresponse tensor regression

0 references

Finding the Number of Clusters in a Dataset

0 references

Provable Sparse Tensor Decomposition

0 references

Estimating the Number of Clusters in a Data Set Via the Gap Statistic

0 references

Detection and feature selection in sparse mixture models

0 references

Finite mixtures of matrix normal distributions for classifying three-way data

0 references

Consistent selection of the number of clusters via crossvalidation

0 references

Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data

0 references

Model-based clustering with envelopes

0 references

A Framework for Feature Selection in Clustering

0 references

Model Selection and Estimation in Regression with Grouped Variables

0 references

Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data

0 references

Tensor Regression with Applications in Neuroimaging Data Analysis

0 references

Identifiers

zbMATH Open document ID

0 references

0 references

10.1080/01621459.2021.1904959

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:6110724