A New Representation in PSO for Discretization-Based Feature Selection

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Title

A New Representation in PSO for Discretization-Based Feature Selection

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FigShare

Description

In machine learning, discretization and feature selection (FS) are important techniques for preprocessing data to improve the performance of an algorithm on high-dimensional data. Since many FS methods require discrete data, a common practice is to apply discretization before FS. In addition, for the sake of efficiency, features are usually discretized individually (or univariate). This scheme works based on the assumption that each feature independently influences the task, which may not hol...

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Format

Other

Date created

24 Mar, 2021

Creator

B Tran / Bing Xue / Mengjie Zhang

URL

https://figshare.com/articles/journal_contribution/A_New_Representation_in_PSO_for_Discretization...

Related subjects

Science & Technology / Technology / Automation & Control Systems / Computer Science, Artificial Intelligence / Computer Science, Cybernetics / Computer Science / Classification / discretization / feature selection (FS) / high-dimensional data / particle swarm optimization (PSO) / PARTICLE SWARM OPTIMIZATION / CLASSIFICATION / ALGORITHM / Artificial Intelligence & Image Processing / Applied Mathematics / Electrical and Electronic Engineering / Artificial Intelligence and Image Processing

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