
Quiz on Unsupervised Learning and Clustering

Quiz
•
Computers
•
University
•
Hard
GEORGE NG
Used 3+ times
FREE Resource
14 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is the primary goal of clustering in unsupervised learning?
To reduce dimensionality of data
To classify data into predefined categories
To find natural groupings in data
To predict future outcomes
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which of the following is a type of hierarchical clustering?
K-means clustering
Agglomerative clustering
DBSCAN
Fuzzy C-Means
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What does the K in K-means represent?
The number of features
The number of clusters
The number of iterations
The number of data points
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which clustering algorithm allows for overlapping clusters?
Agglomerative clustering
DBSCAN
K-means
Fuzzy C-Means
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What is the main disadvantage of K-means clustering?
It can only form spherical clusters
It cannot handle noise
It requires the number of clusters to be specified in advance
It is computationally expensive
6.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
What does DBSCAN stand for?
Density-Based Spatial Clustering of Applications with Noise
Density-Based Statistical Clustering of Applications with Noise
Dynamic-Based Statistical Clustering of Applications with Noise
Dynamic-Based Spatial Clustering of Applications with Noise
7.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which method is used to determine the optimal number of clusters in K-means?
Silhouette analysis
Elbow method
Dendrogram analysis
Variance analysis
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