Consider the following data set consisting of the scores of two attributes on each of seven individuals: Objects A1 A2 1.0 1.0 12 1.5 2.0 3.0 4.0 14 5.0 7.0 3.5 5.0 4.5 5.0 3.5 4.5 Sroup these objects into 2 clusters after running K-means for 2 iterations. The distance between objects is a Euclidean distance. Select one: O a. Cluster 1: (1, 2) Cluster 2: (3, 4, 5, 6, 7) O b. Cluster 1: (1, 2,5) Cluster 2: (3, 4, 6, 7) Cluster 1: (1, 2,4) Cluster 2: (3, 5, 6, 7)
Consider the following data set consisting of the scores of two attributes on each of seven individuals: Objects A1 A2 1.0 1.0 12 1.5 2.0 3.0 4.0 14 5.0 7.0 3.5 5.0 4.5 5.0 3.5 4.5 Sroup these objects into 2 clusters after running K-means for 2 iterations. The distance between objects is a Euclidean distance. Select one: O a. Cluster 1: (1, 2) Cluster 2: (3, 4, 5, 6, 7) O b. Cluster 1: (1, 2,5) Cluster 2: (3, 4, 6, 7) Cluster 1: (1, 2,4) Cluster 2: (3, 5, 6, 7)
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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Question
![Consider the following data set consisting of the scores of two attributes on each of seven individuals:
Objects
A1
A2
1
1.0
1.0
12
1.5
2.0
3.0
4.0
5.0
7.0
3.5
5.0
4.5
5.0
3.5
4.5
Group these objects into 2 clusters after running K-means for 2 iterations. The distance between objects is a Euclidean distance.
Select one:
O a. Cluster 1: (1, 2) Cluster 2: (3, 4, 5, 6, 7)
O b. Cluster 1: (1, 2,5) Cluster 2: (3, 4, 6, 7)
Oc
Cluster 1: (1, 2,4) Cluster 2: (3, 5, 6, 7)
O un](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd99b6acb-3c56-46a2-8aaf-762988209417%2Fd3e4ee2d-71d0-4996-b110-ddfdf68e6077%2F77cg19_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Consider the following data set consisting of the scores of two attributes on each of seven individuals:
Objects
A1
A2
1
1.0
1.0
12
1.5
2.0
3.0
4.0
5.0
7.0
3.5
5.0
4.5
5.0
3.5
4.5
Group these objects into 2 clusters after running K-means for 2 iterations. The distance between objects is a Euclidean distance.
Select one:
O a. Cluster 1: (1, 2) Cluster 2: (3, 4, 5, 6, 7)
O b. Cluster 1: (1, 2,5) Cluster 2: (3, 4, 6, 7)
Oc
Cluster 1: (1, 2,4) Cluster 2: (3, 5, 6, 7)
O un
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