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Linear Discriminant Analysis (deprecated)

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This node has been deprecated and its use is not recommended. Please search for updated nodes instead.

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Linear Discriminant Analysis (LDA) is similar to PCA but tries to take class information into account to achieve a dimensionality reduction while keeping the class separation high. The result may be used in a subsequent classification. The method tries to maximize the ratio of between-class and within-class scatter in order to achieve a projection where data points of a class are close to each other and far from data points of other classes. More information can be found on Wikipedia .

Node details

Input ports
  1. Type: Table
    Input data
    The data to reduce the dimensions of
Output ports
  1. Type: Table
    Reduced data
    The original data plus columns for the reduced dimensions
  2. Type: PCA
    Model
    The transformation matrix. Can be used with PCA apply.

Extension

The Linear Discriminant Analysis (deprecated) node is part of this extension:

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