UNIT 3

1) Input data in unsupervised learning is_______.

• a) Labelled

• b) Unlabelled

• c) Columns and rows

• d) Images

2) Which of the following is used for finding the relationships between variables in the large database?

• a) Clustering

• b) K Means

• c) Association

• d) Hierarchical

3) How to choose the value of "K number of clusters" in K-means Clustering?

• a) Wrist method

• b) Random method

• c) Clustering

• d) Elbow method

4) Divisive algorithm is the _____approach.

• a) Bottom - up

• b) Top - down

• c) Side - bottom

• d) Side -up

5) The tree-shaped structure in Hierarchical Clustering is known as the ________

• a) Dendrogram

• b) Decision tree

• c) Choice graph

• d) Scree plot

6) Which of the following is the dimension reduction technique?

• a) Resizing

• b) Data Cleaning

• c) Principal Component Analysis

• d) Regularization

7) Market Basket analysis is the best example for _____

• a) Clustering

• b) Supervised Learning

• c) Social media analytics

• d) Association

8) Agglomerative is a ________

• a) Bottom up

• b) Top down

• c) Top right

• d) Bottom left

9)  Unsupervised learning can be directly applied to a regression or classification problem.

• TRUE

• FALSE

10) In K Means Clustering if K=3, then there will be______ clusters

• a) Two

• b) Four

• c) Three

• d) Five