1
Clustering is a_________________________________
Correct Answer
Group of similar objects that differ significantly from other objects
☑ MCQ PRACTICE
Data Mining Unit 4
Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.
2
Clustering is a type of ______ learning technique.
Correct Answer
Unsupervised
3
The main goal of clustering is to identify ______ in the data.
Correct Answer
Patterns or relationships
4
In clustering, data points within the same cluster are ______.
Correct Answer
Similar
5
Which of the following is a partitioning-based clustering method?
Correct Answer
K-Means
6
In the K-Means algorithm, each cluster is represented by a ______.
Correct Answer
Centroid
7
K-Means clustering aims to minimize the sum of ______ between data points and their clusters.
Correct Answer
Distances
8
The K-Medoids algorithm is also known as ______.
Correct Answer
PAM (Partitioning Around Medoids)
9
In K-Medoids, the cluster center is always a ______.
Correct Answer
Data point
10
Which of the following clustering methods uses a tree-like structure?
Correct Answer
Hierarchical
11
The tree-like structure formed in hierarchical clustering is called a ______.
Correct Answer
Dendrogram
12
Agglomerative clustering follows a ______ approach.
Correct Answer
Bottom-up
13
Divisive hierarchical clustering follows a ______ approach.
Correct Answer
Top-down
14
DBSCAN algorithm groups data based on ______.
Correct Answer
Density
15
The parameter "ε (epsilon)" in DBSCAN defines ______.
Correct Answer
Distance threshold (radius)
16
In DBSCAN, MinPts parameter defines ______.
Correct Answer
Minimum number of neighbors
17
In DBSCAN, points that do not belong to any cluster are called ______.
Correct Answer
Noise points
18
Outlier analysis helps in identifying data points that ______.
Correct Answer
Differ from the majority
19
Which of the following is a density-based clustering algorithm?
Correct Answer
DBSCAN
20
The technique used to find the distance between two clusters in hierarchical clustering is called ______.
Correct Answer
Linkage method
Fill in the Blanks
21
Clustering groups similar data points together based on their ______.
Correct Answer
Features
22
K-Means is a ______-based clustering algorithm.
Correct Answer
Centroid
23
In K-Means, the number of clusters (k) must be ______ before execution.
Correct Answer
Predetermined
24
The K-Medoids algorithm is designed to handle ______ data.
Correct Answer
Outlier
25
The hierarchical clustering output is represented using a ______.
Correct Answer
Dendrogram
26
The two main types of hierarchical clustering are ______ and ______.
Correct Answer
Agglomerative, Divisive
27
DBSCAN uses two parameters: ______ and ______.
Correct Answer
Epsilon (ε), MinPts
28
In DBSCAN, a point with at least MinPts within its epsilon neighborhood is called a ______ point.
Correct Answer
Core
29
Data points that deviate significantly from the dataset are called ______.
Correct Answer
Outliers
30
In distance-based clustering, the most commonly used distance measure is ______ distance.
Correct Answer
Euclidean