Given a dataset with two classes as shown in Fig. 1 below, one class of data...

  

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Given a dataset with two classes as shown in Fig. 1 below, one class of data points are denoted as green squares and the other class of data points are denoted as red circles. For the two learned projection vectors v (shown by the blue line) and v2 (shown by the light orange line), which one can better describe the objective of the Fisher's discriminant criterion? V2 V Fig. 1. Projecting data by two projection vectors. Given a dataset with two classes as shown in Fig. 1 below, one class of data points are denoted as green squares and the other class of data points are denoted as red circles. For the two learned projection vectors v (shown by the blue line) and v2 (shown by the light orange line), which one can better describe the objective of the Fisher's discriminant criterion? V2 V Fig. 1. Projecting data by two projection vectors.

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Solutions Step 1 LDA is a widely used dimensionality reduction technique built on Fishers linear dis... View the full answer