Two datasets A and B contain 5 data points each, which have properties given in the vector (:). These datasets are: Dataset A Dataset B 3.1 4.4 4.0 1.2 2.1 1.2 3.8 0.3 3.3 0.9 5.5 2.7 2.8 4.1 2.9 5.8 3.2 2.8 3.2 1.9 a) Compute the mean vector and covariance matrix for each dataset. b) Compute the Fisher discriminant coefficients to separate the categories A and B of data above. N len leu lac 1032

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.7: Applications
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Two datasets A and B contain 5 data points each, which have properties given in the vector
(:). These datasets are:
Dataset A
Dataset B
3.1
4.4
4.0
1.2
2.1
1.2
3.8
0.3
3.3
0.9
5.5
2.7
2.8
4.1
2.9
5.8
3.2
2.8
3.2
1.9
a) Compute the mean vector and covariance matrix for each dataset.
b) Compute the Fisher discriminant coefficients to separate the categories A and B of data
above.
N len leu lac
1032
Transcribed Image Text:Two datasets A and B contain 5 data points each, which have properties given in the vector (:). These datasets are: Dataset A Dataset B 3.1 4.4 4.0 1.2 2.1 1.2 3.8 0.3 3.3 0.9 5.5 2.7 2.8 4.1 2.9 5.8 3.2 2.8 3.2 1.9 a) Compute the mean vector and covariance matrix for each dataset. b) Compute the Fisher discriminant coefficients to separate the categories A and B of data above. N len leu lac 1032
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