The covariance matrix of an image with three spectral components is shown below. Find the first principal component of...
The covariance matrix of an image with three spectral components is shown below. Find the first principal component of the data, and compute the percentage of the total variance that is contained in this component. Use technology with matrix capabilities to help solve this problem 167.58 27.09 79.95 S27.09 563.36 253.21 79.95 253.21 205.49 What is the first principal component of the data? Choose the correct answer below. Note that technology may output the negative of first principal component, but these components are equivalent. O D. -0.4475 A 0.1143 O c. Β, Γ 701.48 O B. 167.58 179.399 0.8772 563.36 -0.3735 55.551 0.4663 205.49 0.8125 This component contains % of the total variance Round to the nearest tenth as needed.)
The covariance matrix of an image with three spectral components is shown below. Find the first principal component of the data, and compute the percentage of the total variance that is contained in this component. Use technology with matrix capabilities to help solve this problem 167.58 27.09 79.95 S27.09 563.36 253.21 79.95 253.21 205.49 What is the first principal component of the data? Choose the correct answer below. Note that technology may output the negative of first principal component, but these components are equivalent. O D. -0.4475 A 0.1143 O c. Β, Γ 701.48 O B. 167.58 179.399 0.8772 563.36 -0.3735 55.551 0.4663 205.49 0.8125 This component contains % of the total variance Round to the nearest tenth as needed.)