The accompanying data file contains 10 observations with two variables, x₁ and x₂. Click here for the Excel Data File x1 x2 6.63 0.85 4.89 0.19 11.24 1.47 23.98 0.74 3.89 2.36 33.99 0.80 4.56 1.64 10.42 0.90 6.78 1.11 17.32 0.99 a-1. Using the original values, compute the Euclidean distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2 decimal places.) a-2. Using the z-score standardized values, compute the Euclidean distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2 decimal places.) b-1. Using the original values, compute the Manhattan distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2 decimal places.) b-2. Using the the z-score standardized values, compute the Manhattan distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2
The accompanying data file contains 10 observations with two variables, x₁ and x₂. Click here for the Excel Data File x1 x2 6.63 0.85 4.89 0.19 11.24 1.47 23.98 0.74 3.89 2.36 33.99 0.80 4.56 1.64 10.42 0.90 6.78 1.11 17.32 0.99 a-1. Using the original values, compute the Euclidean distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2 decimal places.) a-2. Using the z-score standardized values, compute the Euclidean distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2 decimal places.) b-1. Using the original values, compute the Manhattan distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2 decimal places.) b-2. Using the the z-score standardized values, compute the Manhattan distance for all possible pairs of the first three observations. (Round intermediate calculations to at least 4 decimal places and your final answers to 2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Pppp
Transcribed Image Text:The accompanying
data file contains 10 observations
with two variables, x₁ and x₂-
Click here for the Excel Data File
x1
6.63
x2
0.85
4.89 0.19
11.24 1.47
23.98 0.74
3.89 2.36
33.99 0.80
4.56 1.64
10.42 0.90
6.78 1.11
17.32 0.99
a-1. Using the original values, compute the Euclidean
distance for all possible pairs of the first three
observations. (Round intermediate calculations to at
least 4 decimal places and your final answers to 2
decimal places.)
a-2. Using the z-score standardized values, compute the
Euclidean distance for all possible pairs of the first three
observations. (Round intermediate calculations to at
least 4 decimal places and your final answers to 2
decimal places.)
b-1. Using the original values, compute the Manhattan
distance for all possible pairs of the first three
observations. (Round intermediate calculations to at
least 4 decimal places and your final answers to 2
decimal places.)
b-2. Using the the z-score standardized values, compute
the Manhattan distance for all possible pairs of the first
three observations. (Round intermediate calculations to
at least 4 decimal places and your final answers to 2
decimal places.)
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VIEWStep 2: Compute the Euclidean distance for the original values
VIEWStep 3: Compute the z-score values
VIEWStep 4: Compute the Euclidian distance using z-score-standardized values
VIEWStep 5: Compute the Manhattan distance for the original values
VIEWStep 6: Compute the Manhattan distance using z-score-standardized values
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