Witryna1 kwi 2005 · 4.. ConclusionIn this paper, a new algorithm for image feature extraction and selection was proposed. This method uses the Fisher Linear Discriminant Analysis to enhance the effect of variation caused by different individuals, other than by illumination, expression, orientation, etc. 2D-LDA uses the image matrix instead of … Witryna3 sie 2014 · Introduction. Linear Discriminant Analysis (LDA) is most commonly used as dimensionality reduction technique in the pre-processing step for pattern-classification and machine learning applications. The goal is to project a dataset onto a lower-dimensional space with good class-separability in order avoid overfitting (“curse of …
Linear Discriminant Analysis (LDA) in Machine Learning
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