
Introduction to Machine Learning Quiz

Quiz
•
Computers
•
Professional Development
•
Hard

Srijana Shet
FREE Resource
18 questions
Show all answers
1.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
How k-means clustering works?
Initialization
Assignment
Update centroids
Repeat
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the goal of clustering?
To identify patterns and relationships in data
To classify data points
To label data points
To visualize data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does K define in K-Means Clustering?
The number of clusters
The number of data points
The number of iterations
The number of features
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in the K-Means Algorithm?
Select random K points
Assign data points to clusters
Calculate the variance
Select the number K
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a Dendrogram?
A diagram that shows the hierarchical relationship between objects.
A method for splitting a cluster.
A type of clustering algorithm.
A measure of dissimilarity between clusters.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between Agglomerative and Divisive clustering?
Agglomerative is a bottom-up approach, while Divisive is a top-down approach.
Agglomerative requires prespecifying the number of clusters, while Divisive does not.
Agglomerative merges clusters, while Divisive splits them.
Both approaches are the same.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is Single Linkage?
The minimum distance between the members of two clusters.
The maximum distance between the members of two clusters.
The average distance between the members of two clusters.
A method for splitting clusters.
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