
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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Computer Science
![[Note] You are being asked to demonstrate expertise in this area of study by articulating the
correct answers providing clear concise responses. 3-4 sentences are adequate responses, in
some cases more will be required.
Distance Measurements and Correlations
Distance Measures for Data Scientists
O Caculating the distance between two points
Manhattan Distance
Euclidean Distance
n-1
distance = > |(x[i] – y[i])|
d(x, y) = /E(x; – y;)?
i=0
i=1
1. Using the formulas above, calculate the Manhattan Distance and Euclidean Distance for
the following points
Point A
Point B
(4, 2)
(2,1)
(8, 8)
(5,3)
Show your work here:](https://content.bartleby.com/qna-images/question/c9ede396-44b7-49e9-ba43-96abe20cd62d/dc93f20e-8b26-4327-8c12-ea59444ebe13/r1opmq_thumbnail.png)
Transcribed Image Text:[Note] You are being asked to demonstrate expertise in this area of study by articulating the
correct answers providing clear concise responses. 3-4 sentences are adequate responses, in
some cases more will be required.
Distance Measurements and Correlations
Distance Measures for Data Scientists
O Caculating the distance between two points
Manhattan Distance
Euclidean Distance
n-1
distance = > |(x[i] – y[i])|
d(x, y) = /E(x; – y;)?
i=0
i=1
1. Using the formulas above, calculate the Manhattan Distance and Euclidean Distance for
the following points
Point A
Point B
(4, 2)
(2,1)
(8, 8)
(5,3)
Show your work here:
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