Research/Blog
LDA in AI
- December 13, 2019
- Posted by: CellStrat Editor
- Category: Artificial Intelligence Machine Learning Uncategorized
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LDA/ Linear Discriminant Analysis is a very common technique used in supervised learning’s classification problems similar to PCA/ Principal Component Analysis which is used in Unsupervised Learning problems.
LDA similar to PCA is a dimensionality reduction technique used as a pre-processing step in machine learning and pattern classification applications.
Dimensionality reduction techniques can be used to filter only a limited number of significant features needed for training and this is where Linear Discriminant Analysis (LDA) comes in, in supervised learning. This category of dimensionality reduction is used in biometrics, bioinformatics and chemistry.