PAML_session5_Unsupervised_Learning
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Computers
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University
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Medium
ARCHITA JAIN PESU RR 2023-2027 BATCH
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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary characteristic of unsupervised learning?
It uses labeled data for training
It predicts future values based on past data
It finds patterns and relationships in unlabeled data
It requires explicit output values
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a clustering algorithm?
K-Means
Hierarchical Clustering
Apriori
DBSCAN
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of clustering in unsupervised learning?
To classify data into predefined categories
To find relationships between variables
To group similar data points together
To train a predictive model
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following clustering algorithms does NOT require specifying the number of clusters in advance?
K-Means
DBSCAN
K - Medoids
Gaussian Mixture Model (GMM)
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In K-Means clustering, what determines the formation of clusters?
The distance between points and cluster centroids
The density of points in an area
The number of data dimensions
The presence of labels in data
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which metric is NOT used in association rule learning?
Support
Confidence
Lift
Variance
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statements is true about DBSCAN?
It requires specifying the number of clusters beforehand
It handles noise better than K-Means
It only works well for spherical clusters
It does not use density-based clustering
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