2024
DOI: 10.3390/app14135818
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Efficient and Intelligent Feature Selection via Maximum Conditional Mutual Information for Microarray Data

Jiangnan Zhang,
Shaojing Li,
Huaichuan Yang
et al.

Abstract: The challenge of analyzing microarray datasets is significantly compounded by the curse of dimensionality and the complexity of feature interactions. Addressing this, we propose a novel feature selection algorithm based on maximum conditional mutual information (MCMI) to identify a minimal feature subset that is maximally relevant and non-redundant. This algorithm leverages a greedy search strategy, prioritizing both feature quality and classification performance. Experimental results on high-dimensional micro… Show more

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