# Clustering Machine Learning Multiple Choice Questions And Answers PDF

Hello friends in this article we will discuss about Clustering in Machine Learning Multiple Choice Questions. Clustering is very important as per machine learning subject. This MCQ can be asked into various exams in your University as well as entrance exams.

So let’s discuss about machine learning MCQ.

1._______is basically a type of unsupervised learning method

ANSWER= B) clustering
Explain:- clustering is basically a type of unsupervised learning method.

2._______is the task of dividing the population or data points into a number of groups.

ANSWER= B) clustering
Explain:- clustering is the task of dividing the population or data points into a number of groups.

3.Which of the following is not clustering method?

ANSWER= D) Project Based
Explain:-

4.__________consider the clusters as the dense region having some similarity and different from the lower dense region of the space

ANSWER= A) Density-Basedd
Explain:- Density-Based consider the clusters as the dense region having some similarity and different from the lower dense region of the space

5.__________methods have good accuracy and ability to merge two clusters.

ANSWER= A) Density-Basedd
Explain:- Density-Based methods have good accuracy and ability to merge two clusters.

6.__________clusters formed in this method forms a tree-type structure based on the hierarchy.

ANSWER= B) Hierarchical Based
Explain:- Hierarchical Based clusters formed in this method forms a tree-type structure based on the hierarchy.

7.Hierarchical Based Methods Consist of which category?

ANSWER= C) Both A and B
Explain:-

8.Agglomerative has _________ approach

ANSWER= B) bottom up
Explain:- Agglomerative has bottom up approach.

9.Divisive has _________ approach

ANSWER= A) top down
Explain:- Divisive had top down approach.

10._______ stands for Statistical Information Grid.

ANSWER= C) STING
Explain:- STING stands for Statistical Information Grid

11.there are possibly over _____ published clustering algorithms

ANSWER= B) 100
Explain:- there are possibly over 100 published clustering algorithms

12._____model in which we will fit the data on the probability that how it may belong to the same distribution.

ANSWER= B) distribution based model
Explain:-distribution based model model in which we will fit the data on the probability that how it may belong to the same distribution