A simple and intuitive metric to evaluate the candidate features is proposed. The proposed algorithm is applicable to both categorical and numerical features.
Aug 23, 2022 · We propose a Multi-label Causal Feature Selection with Neighbourhood Mutual Information algorithm, called MCFS-NMI.
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The general framework for multi-label feature selection based on mutual information is set up, the unified formula of multi- Label feature selection is ...
Nov 8, 2024 · In order to address this issue, a new multi-label feature selection algorithm is proposed by combining the fuzzy neighborhood mutual information ...
This paper presents a multi-label feature selection algorithm MLFS which consists of two steps. The first step employs the mutual information to complete the ...
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May 9, 2024 · Redundancy analysis is performed on newly arrived features and selected feature sets using neighborhood interaction information, and features ...
In this paper, we propose the Mutual Information-based multi-label feature selection method using interaction information. This method is naturally able to ...
Jul 5, 2013 · This paper introduces a new methodology to perform feature selection in multi-label classification problems. Unlike previous works based on ...
In order to address this issue, a new multi-label feature selection algorithm is proposed by combining the fuzzy neighborhood mutual information with the ...
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Jul 21, 2020 · A new method named Multi-label Feature Selection considering Max-Correlation (MCMFS) is proposed. Experimental results demonstrate the classification ...