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Unsupervised Learning Techniques

Total questions: 10

Worksheet time: 4mins

Name
Class
Date
1.

_______ is an unsupervised learning type

a)

Association

b)

Clustering

c)

Both of these

d)

None of these

2.

Agglomerative hierarchical clustering is also known as

a)

Top down approach

b)

Bottom up approach

c)

Both of these

d)

None of these

3.

Types of clustering include

a)

Hierarchical clustering

b)

k-NN

c)

Both of these

d)

None of these

4.

______ is not a model in clustering

a)

Agglomerative HC

b)

Divisive HC

c)

k-Means

d)

Random Forest

5.

Optimum number of clusters in k-Means is found out using

a)

Dendrogram

b)

Elbow Method

c)

Random State

d)

None of these

6.

Optimum number of clusters in agglomerative HC is found out using

a)

Dendrogram

b)

Elbow Method

c)

Random State

d)

None of these

7.

In unsupervised learning, the dataset will be

a)

Labelled

b)

Semi-labelled

c)

None of these

d)

Non-labelled

8.

In unsupervised learning, the machine learns by

a)

Identifying patterns in the dataset

b)

Using class labels

c)

None of these

d)

Both of these

9.

Hierarchical clustering is classified into

a)

3

b)

4

c)

2

d)

None of these

10.

The most accurate clustering model is

a)

Agglomerative HC

b)

Divisive HC

c)

k-Means

d)

Depends on dataset