Cluster Analysis Quiz
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Other
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University
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Practice Problem
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Hard
JAMES MAGTANGOB
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10 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the goal of cluster analysis?
To organize and group similar data points
To classify data into distinct categories
To summarize data using statistical measures
To predict future data points
2.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the following is an advantage of K-means clustering?
Handles large datasets efficiently
Can detect clusters of various shapes
Does not require specifying the number of clusters in advance
Provides a visual representation of the clustering process
3.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the main disadvantage of K-means clustering?
Sensitivity to outliers
Requires specifying the number of clusters in advance
Computational complexity for big data scenarios
Difficulty in determining the optimal number of clusters
4.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What does hierarchical clustering produce?
A dendrogram
A scatter plot
A decision tree
A confusion matrix
5.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of the following is an advantage of hierarchical clustering?
Flexibility in determining the number of clusters
Efficient for large datasets
Handles outliers effectively
Assumes spherical clusters
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
How are data points assigned to clusters in K-means clustering?
Based on the Euclidean distance between data points
Based on the Manhattan distance between data points
Based on the correlation between data points
Based on the cosine similarity between data points
7.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the purpose of recalculating centroids in K-means clustering?
To ensure even distribution of data points in clusters
To minimize the within-cluster sum of squares
To handle outliers effectively
To visualize the clustering process
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