☆ 4.7 Article

Dendrograms, minimum spanning trees and feature selection

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Management

A Mixed Integer Linear Programming Support Vector Machine for Cost-Effective Group Feature Selection: Branch-Cut-and-Price Approach

In Gyu Lee et al.

Summary: This article introduces a cost-effective 1-norm support vector machine with group feature selection to address the cost uncertainty of features. It also proposes an efficient algorithm for solving the models. Experimental results show that the model achieves competitive outcomes in terms of prediction accuracy and economic performance.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2022)

添加到收藏夹

Article Computer Science, Hardware & Architecture

Optimal hierarchical clustering on a graph

Gokce Kahvecioglu et al.

Summary: In this study, we focused on a parametric biobjective graph clustering problem on undirected graphs with positive edge weights. By removing edges to break the graph into smaller clusters and identifying nested solutions on the concave envelope of the efficient frontier, we were able to construct a hierarchical family of clusters in strongly polynomial time. Our approach was demonstrated on a real-world graph of football team schedules in the National Collegiate Athletic Association, as well as on synthetic graphs with embedded hierarchical structures from a stochastic block model.

NETWORKS (2022)

添加到收藏夹

Article Statistics & Probability

Combining clustering of variables and feature selection using random forests

Marie Chavent et al.

Summary: The proposed methodology combines clustering of variables and feature selection, selecting the most relevant synthetic variables using a procedure using random forests. This provides an easier interpretation of results.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2021)

添加到收藏夹

Article Management

Simultaneous feature selection and clustering based on square root optimization

He Jiang et al.

Summary: The proposed square root fused LASSO method addresses the challenge of tuning regularization parameters in the LASSO method dependent on noise level sigma by combining square root loss function and penalty functions. Theoretical derivations and experiments demonstrate the superiority of this method.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

General Learning Equilibrium Optimizer: A New Feature Selection Method for Biological Data Classification

Jingwei Too et al.

Summary: The study introduces a feature selection method called General Learning Equilibrium Optimizer (GLEO), which utilizes a general learning strategy to help particles evade local areas and improve the capability of finding promising regions.

APPLIED ARTIFICIAL INTELLIGENCE (2021)

添加到收藏夹

Article Management

A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification

Asuncion Jimenez-Cordero et al.

Summary: Feature selection has become a challenging issue in machine learning, particularly in classification problems. Support Vector Machine is a widely used technique in classification tasks, with various methodologies proposed for selecting the most relevant features in SVM. The authors introduce an embedded feature selection method based on a min-max optimization problem to balance model complexity and classification accuracy, showcasing efficiency and usefulness in benchmark datasets.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Variable selection for Naive Bayes classification

Rafael Blanquero et al.

Summary: The proposed sparse Naive Bayes classifier takes into account the correlation structure of features, allows for flexible selection of performance measures, and includes performance constraints for groups of higher interest. This approach leads to competitive results in terms of accuracy, sparsity, and running times for balanced datasets, while also achieving a better compromise between classification rates for different classes in unbalanced datasets.

COMPUTERS & OPERATIONS RESEARCH (2021)

添加到收藏夹

Article Management

Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach

Sandra Benitez-Pena et al.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2020)

添加到收藏夹

Article Thermodynamics

Spatial disparity and hierarchical cluster analysis of final energy consumption in China

Shaobin Wang et al.

ENERGY (2020)

添加到收藏夹

Article Endocrinology & Metabolism

Impact of complete lockdown on total infection and death rates: A hierarchical cluster analysis

Samit Ghosal et al.

DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS (2020)

添加到收藏夹

Review Biology

A review of feature selection methods in medical applications

Beatriz Remeseiro et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2019)

添加到收藏夹

Article Management

Mixed integer linear programming and heuristic methods for feature selection in clustering

Stefano Benati et al.

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2018)

添加到收藏夹

Article Computer Science, Theory & Methods

Feature Selection: A Data Perspective

Jundong Li et al.

ACM COMPUTING SURVEYS (2018)

添加到收藏夹

Article Social Sciences, Interdisciplinary

Hierarchical Cluster Analysis: Comparison of Three Linkage Measures and Application to Psychological Data

Odilia Yim et al.

QUANTITATIVE METHODS FOR PSYCHOLOGY (2015)

添加到收藏夹

Article Operations Research & Management Science

A new separation algorithm for the Boolean quadric and cut polytopes

Adam N. Letchford et al.

DISCRETE OPTIMIZATION (2014)

添加到收藏夹

Article Computer Science, Software Engineering

The Longest Path Problem has a Polynomial Solution on Interval Graphs

Kyriaki Ioannidou et al.

ALGORITHMICA (2011)

添加到收藏夹

Article Statistics & Probability

A Framework for Feature Selection in Clustering

Daniela M. Witten et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2010)

添加到收藏夹

Article Chemistry, Analytical

Feature selection for hierarchical clustering

F Questier et al.

ANALYTICA CHIMICA ACTA (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.