Discriminant analysis (DA) is a descriptive multivariate technique for analyzing grouped data, i.e. the rows of the data matrix are divided into a number of groups that usually represent samples from different populations (Krzanowski, 2003; McLachlan, 2004; Seber, 2004). Recently DA has also been viewed as a promising dimensionality reduction technique (Dhillon et al., 2002; Hastie et al., 2009). Indeed, the presence of group structure in the data additionally facilitates the dimensionality reduction.
Linear discriminant analysis (LDA)
Michele Gallo
2021-01-01
Abstract
Discriminant analysis (DA) is a descriptive multivariate technique for analyzing grouped data, i.e. the rows of the data matrix are divided into a number of groups that usually represent samples from different populations (Krzanowski, 2003; McLachlan, 2004; Seber, 2004). Recently DA has also been viewed as a promising dimensionality reduction technique (Dhillon et al., 2002; Hastie et al., 2009). Indeed, the presence of group structure in the data additionally facilitates the dimensionality reduction.File in questo prodotto:
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