ZCSDADADSADD dimensionality reduction. LDA attempts to try

ZCSDADADSADD dimensionality reduction. LDA attempts to try

ZCSDADADSADD AD A ADA SD ASD ADA DASD AS ASD ASD ASD ASD ASD ASD ASD ASD ASD ASD ASDA ASD ASD AD ASD AD ASD ASDLinear discriminant analysis (LDA) method is used in statistics and pattern recognition to help find a linear combination of the features.

The resulting combination can be used as a linear classifier or for dimensionality reduction. LDA attempts to try model the difference between the classes of data. However, PCA on the other hand, does not consider any differences in class, and the factor analysis builds the feature combinations based on differences rather than similarities.

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