Self-organizing network for variable clustering

DOI10.1007/s10479-017-2442-2zbMath1478.62169OpenAlexW2591620585MaRDI QIDQ1639221

Y. Aharonov

Publication date: 12 June 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-017-2442-2

zbMATH Keywords

myocardial infarctionpredictive modelingvariable clusteringself-organizing networknonlinear coupling analysisvector cardiogram

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistical aspects of big data and data science (62R07)

Related Items (1)

Modeling the flow of information between financial time-series by an entropy-based approach

Cites Work

• Unnamed Item
• The varimax criterion for analytic rotation in factor analysis
• Agglomerative hierarchical clustering of continuous variables based on mutual information
• Least angle regression. (With discussion)
• Self-organized topology of recurrence-based complex networks
• Independent coordinates for strange attractors from mutual information
• A Branch and Bound Algorithm for Feature Subset Selection
• Heterogeneous recurrence monitoring and control of nonlinear stochastic processes
• Regularization and Variable Selection Via the Elastic Net
• Information-based clustering
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• A robust method for detecting interdependences: Application to intracranially recorded EEG

This page was built for publication: Self-organizing network for variable clustering