PAML_session5_Unsupervised_Learning

PAML_session5_Unsupervised_Learning

University

20 Qs

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PAML_session5_Unsupervised_Learning

PAML_session5_Unsupervised_Learning

Assessment

Quiz

Computers

University

Practice Problem

Medium

Created by

ARCHITA JAIN PESU RR 2023-2027 BATCH

Used 2+ times

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20 questions

Show all answers

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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