

K-Means Clustering Quiz
Interactive Video
•
Computers
•
9th - 10th Grade
•
Practice Problem
•
Hard
Jennifer Brown
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key requirement before starting a K-Means clustering analysis?
Choosing the data points
Defining the number of clusters
Deciding the size of clusters
Selecting the color of clusters
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in the K-Means clustering process?
Repeating the process
Defining the number of clusters
Calculating cluster centers
Assigning points to clusters
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How are initial cluster centers set in K-Means clustering?
By averaging all data points
Based on the largest data point
Randomly
Using the smallest data point
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if the cluster distribution does not change in an iteration?
The data is re-evaluated
The process is repeated
New clusters are added
The process is stopped
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it necessary to repeat the K-Means clustering process multiple times?
To reduce the number of data points
To increase the number of clusters
To find the smallest sum of distances
To ensure the data is accurate
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What method is used to determine the optimal number of clusters in K-Means?
The knee method
The foot method
The elbow method
The shoulder method
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What indicates the optimal number of clusters using the elbow method?
A decrease in data points
No change in summed distances
A small gap between cluster numbers
A large gap between cluster numbers
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