Abstract: In this paper, a multi-objective optimization model incorporating a novel entropy-PCA weight allocation and enhanced genetic algorithm is proposed to cope with multi-dimensional optimization ...
Robust Principal Component Analysis in Imaging: Novel Algorithms for Outlier Detection and Precision
You will be redirected to our submission process. Principal Component Analysis (PCA) is a foundational method for unsupervised dimensionality reduction and has had wide impact across imaging and ...
Abstract: Dimensionality reduction is a crucial step in building interpretable machine learning models, especially for highdimensional datasets. This study provides a comparative analysis of two ...
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