Copertina

Improving Model Choice in Classification: An Approach Based on Clustering of Covariance Matrices

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rodríguez-Vítores, David, Matrán, Carlos
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Methodology Computation 62H30 G.3
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Model-Based Clustering with Sequential Outlier Identification using the Distribution of Mahalanobis Distances
di: Doherty, Ultán P., et al.
Pubblicazione: (2025)

Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
di: Gwee, Xian Yao, et al.
Pubblicazione: (2023)

Optimal Transport-Based Clustering of Attributed Graphs with an Application to Road Traffic Data
di: Gavra, Ioana, et al.
Pubblicazione: (2025)

Spectral Clustering with Likelihood Refinement for High-dimensional Latent Class Recovery
di: Lyu, Zhongyuan, et al.
Pubblicazione: (2025)

Evaluation of the number of clusters in a data set using $p$-values from Multiple Tests of Hypotheses
di: Modak, Soumita
Pubblicazione: (2026)

A monotonic MM-type algorithm for estimation of nonparametric finite mixture models with dependent marginals
di: Levine, Michael
Pubblicazione: (2025)

Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
di: Alcacer, Aleix, et al.
Pubblicazione: (2025)

Improving Sensitivity in A/B Tests: Integrating CUPED with Trimmed Mean Techniques
di: Charette, Kevin, et al.
Pubblicazione: (2025)

Additive Logistic Models as Interpretable Likelihood-Ratio Scores for AUC-Based Classification
di: Chang, Yuan-chin Ivan
Pubblicazione: (2015)

Evaluating the role of correlation among markers in prediction models
di: Sabroso-Lasa, Sergio, et al.
Pubblicazione: (2026)

Density estimation for compositional data using nonparametric mixtures
di: Xie, Jiajin, et al.
Pubblicazione: (2025)

Continuum centroid classifier for functional data
di: Zhou, Zhiyang, et al.
Pubblicazione: (2021)

Covariance matrix completion via auxiliary information
di: Steneman, Joseph, et al.
Pubblicazione: (2024)

Bayesian Cluster Weighted Gaussian Models
di: Papastamoulis, Panagiotis, et al.
Pubblicazione: (2024)

A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data
di: Kareem, Kazeem, et al.
Pubblicazione: (2025)

Regularized estimation of Monge-Kantorovich quantiles for spherical data
di: Bercu, Bernard, et al.
Pubblicazione: (2024)

Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection
di: Ohl, Louis, et al.
Pubblicazione: (2023)

Binary Regression and Classification with Covariates in Metric Spaces
di: Lin, Yinan, et al.
Pubblicazione: (2023)

Extending Cluster-Weighted Factor Analyzers for multivariate prediction and high-dimensional interpretability
di: Qin, Xiaoke, et al.
Pubblicazione: (2024)

Club Exco: clustering brain extreme communities from multi-channel EEG data
di: Guerrero, Matheus B., et al.
Pubblicazione: (2022)

Fisher Scoring for Exact Matérn Covariance Estimation through Stable Smoothness Optimization
di: Hong, Yiping, et al.
Pubblicazione: (2026)

Median Radial Function: A Robust, Covariance-Free Framework and Applications
di: Elamir, Elsayed
Pubblicazione: (2026)

Information criteria for the number of directions of extremes in high-dimensional data
di: Butsch, Lucas, et al.
Pubblicazione: (2024)

Linear Discriminant Analysis with High-dimensional Mixed Variables
di: Jiang, Binyan, et al.
Pubblicazione: (2021)

Power Analysis for Experiments with Clustered Data, Ratio Metrics, and Regression for Covariate Adjustment
di: Hesterberg, Tim, et al.
Pubblicazione: (2024)

Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
di: Loureiro, Catarina P., et al.
Pubblicazione: (2026)

Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
di: Lee, JoonHo
Pubblicazione: (2026)

An Empirical Comparison of Methods for Quantifying the Similarity of Categorical Datasets
di: Stolte, Marieke, et al.
Pubblicazione: (2026)

An Empirical Comparison of Methods for Quantifying the Similarity of Numeric Datasets
di: Stolte, Marieke, et al.
Pubblicazione: (2026)

Unsupervised Variable Selection for Ultrahigh-Dimensional Clustering Analysis
di: Zhang, Tonglin, et al.
Pubblicazione: (2024)

Bayesian copula-based spatial random effects models for inference with complex spatial data
di: Pearse, Alan, et al.
Pubblicazione: (2025)

Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
di: Maturo, Fabrizio, et al.
Pubblicazione: (2024)

Regression Analysis After Bipartite Bayesian Record Linkage
di: Hu, Xueyan, et al.
Pubblicazione: (2025)

Hierarchical Overlapping Group Lasso for GMANOVA Model
di: Ohishi, M., et al.
Pubblicazione: (2025)

Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
di: Marsh, Joseph, et al.
Pubblicazione: (2026)

Ranking of Multi-Response Experiment Treatments
di: Pebes-Trujillo, Miguel R., et al.
Pubblicazione: (2024)

Over the Stability Space of a Multivariate Time Series
di: Vásquez-Martínez, Roberto, et al.
Pubblicazione: (2025)

Robust spectral clustering with rank statistics
di: Cape, Joshua, et al.
Pubblicazione: (2024)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
di: Cabral, Rafael, et al.
Pubblicazione: (2024)

The Role of Mean Absolute Deviation Function in Obtaining Smooth Estimation for Distribution and Density Functions: Beta Regression Approach
di: Elamir, Elsayed A. H.
Pubblicazione: (2024)