The covariance matrix of an image with three spectral components is shown below. Let x₁, x2, and x3 denote the spectral components of each pixel in the image. Find a new variable of the form y₁ = C₁x₁ + C₂x₂ + C3x3 that has maximum possible variance, subject to the constraint that c² + c3 + c3 =1. What percentage of the total variance in the data is explained by y₁? 27.22 19.55 6.00 S 19.55 21.88 13.36 6.00 13.36 25.32 (...)
The covariance matrix of an image with three spectral components is shown below. Let x₁, x2, and x3 denote the spectral components of each pixel in the image. Find a new variable of the form y₁ = C₁x₁ + C₂x₂ + C3x3 that has maximum possible variance, subject to the constraint that c² + c3 + c3 =1. What percentage of the total variance in the data is explained by y₁? 27.22 19.55 6.00 S 19.55 21.88 13.36 6.00 13.36 25.32 (...)
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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![The covariance matrix of an image with three spectral components is shown below. Let x₁, x₂, and x3 denote the spectral components of each pixel in the image. Find
a new variable of the form y₁ = C₁X₁ + C₂X₂ + C3x3 that has maximum possible variance, subject to the constraint that c3 + c3 + c3 = 1. What percentage of the total
variance in the data is explained by y₁?
27.22 19.55 6.00
S= 19.55 21.88 13.36
6.00 13.36 25.32
(...)
Which of the following could be the new variable y₁?
O A. Y₁ = -0.56x₁ +0.06x2 -0.83x3
O C.
y₁ = 0.62x₁ +0.62x2 +0.62x3
O B. y₁ = -0.54x₁ -0.78x2 +0.32x3
ⒸD. y₁=0.54x₁1 -0.78x2 + 0.32x3
O F. y₁ = 0.62x₁ +0.63x2 +0.47x3
y₁ = 0.62x₁ +0.63x2 -0.47x3
O E. y₁=0.54x₁1 -0.78x2 -0.32x3
O G. y₁ = 0.56x₁ +0.06x2 -0.83x3
O H.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F16d76682-c889-467d-be34-e4352423eda3%2F23bd70eb-49f6-4c1f-b2f7-674b5ec20692%2F4p4sze.bmp&w=3840&q=75)
Transcribed Image Text:The covariance matrix of an image with three spectral components is shown below. Let x₁, x₂, and x3 denote the spectral components of each pixel in the image. Find
a new variable of the form y₁ = C₁X₁ + C₂X₂ + C3x3 that has maximum possible variance, subject to the constraint that c3 + c3 + c3 = 1. What percentage of the total
variance in the data is explained by y₁?
27.22 19.55 6.00
S= 19.55 21.88 13.36
6.00 13.36 25.32
(...)
Which of the following could be the new variable y₁?
O A. Y₁ = -0.56x₁ +0.06x2 -0.83x3
O C.
y₁ = 0.62x₁ +0.62x2 +0.62x3
O B. y₁ = -0.54x₁ -0.78x2 +0.32x3
ⒸD. y₁=0.54x₁1 -0.78x2 + 0.32x3
O F. y₁ = 0.62x₁ +0.63x2 +0.47x3
y₁ = 0.62x₁ +0.63x2 -0.47x3
O E. y₁=0.54x₁1 -0.78x2 -0.32x3
O G. y₁ = 0.56x₁ +0.06x2 -0.83x3
O H.
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