Results 171 to 180 of about 1,253,621 (308)

High-dimensional data clustering

, 2006
Clustering in high-dimensional spaces is a difficult problem which is recurrent in many domains, for example in image analysis. The difficulty is due to the fact that high-dimensional data usually exist in different low-dimensional subspaces hidden in ...
Bouveyron, Charles, Schmid, Cordelia, Girard, Stéphane   +2 more
core  

Signpost Testing to Navigate the Parameter Space of the Gaussian Graphical Model With High-Dimensional Data. [PDF]

Biom J
Ruan K, van de Wiel MA, van Wieringen WN.   +2 more
europepmc   +1 more source

Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso. [PDF]

BMC Bioinformatics, 2023
Zhu W, Lévy-Leduc C, Ternès N.
europepmc   +1 more source

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen, Stéphane Jean, Weihong Liu, Yihai Dai, Xinrong Fang, Xiaoqiang Wei, Shan Chen, Shiwei Song   +7 more
wiley   +1 more source

High-Dimensional Graphical Model Search with the gRapHD R Package

This paper presents the R package gRapHD for efficient selection of high-dimensional undirected graphical models. The package provides tools for selecting trees, forests, and decomposable models minimizing information criteria such as AIC or BIC, and for
Rodrigo Labouriau, David Edwards, Gabriel C. G. Abreu   +2 more
core  

LINEAR DISCRIMINANT RULES for HIGH-DIMENSIONAL CORRELATED DATA: ASYMPTOTIC and FINITE SAMPLE RESULTS [PDF]

A new class of linear discrimination rules, designed for problems with many correlated variables, is proposed. This proposal tries to incorporate the most important patterns revealed by the empirical correlations and accurately approximate the optimal ...
Pedro Duarte Silva
core  

Uniform in Bandwidth Consistency of the <i>L</i>¹-Modal Regression Estimator for High-Dimensional Data. [PDF]

Entropy (Basel)
Almulhim FA, Alamari MB, Laksaci A.
europepmc   +1 more source

Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone, Freddy Chafota, Miguel E. Rentería, Randi J. Hagerman, Ellery Santos, Anna Atkinson, Nicholas G. Martin, Elsdon Storey, Danuta Z. Loesch   +8 more
wiley   +1 more source

Multi-Platform Multivariate Regression with Group Sparsity for High-Dimensional Data Integration. [PDF]

Entropy (Basel)
Qin S, Zhang G, Gao X, Wu Y.
europepmc   +1 more source

Knockoff procedure for false discovery rate control in high-dimensional data streams. [PDF]

J Appl Stat, 2023
Wai Tsang K, Tsung F, Xu Z.
europepmc   +1 more source