You would like to conduct a cluster analysis with three b of these variables, you can be sure that all of the observ to each other, and the observations coded "0" are simila distance measure should you use? O Jaccard's distance Manhattan distance O Matching distance O Euclidean distance
You would like to conduct a cluster analysis with three b of these variables, you can be sure that all of the observ to each other, and the observations coded "0" are simila distance measure should you use? O Jaccard's distance Manhattan distance O Matching distance O Euclidean distance
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![You would like to conduct a cluster analysis with three binary variables. For all three
of these variables, you can be sure that all of the observations coded "1" are similar
to each other, and the observations coded "0" are similar to each other. Which
distance measure should you use?
Jaccard's distance
Manhattan distance
Matching distance
Euclidean distance
You have a relatively small dataset and you want to divide the observations into
groups based on data in binary variables. Which analytical technique should you use?
hierarchical cluster analysis
k-means cluster analysis
O multiple regression
a spreadsheet model](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F552675e3-476b-4e17-b111-6d10eb36398e%2F7bb1f5ae-ee0b-46ff-ae01-ebb11466014d%2Fgbikvwf.png&w=3840&q=75)
Transcribed Image Text:You would like to conduct a cluster analysis with three binary variables. For all three
of these variables, you can be sure that all of the observations coded "1" are similar
to each other, and the observations coded "0" are similar to each other. Which
distance measure should you use?
Jaccard's distance
Manhattan distance
Matching distance
Euclidean distance
You have a relatively small dataset and you want to divide the observations into
groups based on data in binary variables. Which analytical technique should you use?
hierarchical cluster analysis
k-means cluster analysis
O multiple regression
a spreadsheet model
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