Abstract: In this paper we propose an optimized version of the PCA algorithm by using genetic algorithms and the KNN technique with applications in the classification of image classes. The algorithm ...
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 ...
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