Clustering-Quiz

Clustering is mainly used for:

• Classification of labeled data

• Grouping similar data points

• Predicting future values

• Solving regression problems

Which of the following real-world applications use clustering?

• Customer segmentation

• Spam detection

• Sentiment analysis

• Stock price prediction

The main goal of clustering is to:

• Create equal-sized clusters

• Assign labels to each data point

• Maximize inter-cluster similarity and minimize intra-cluster similarity

• Maximize intra-cluster similarity and minimize inter-cluster similarity

Which clustering method divides data into non-overlapping subsets?

• Hierarchical clustering

• Partitioning clustering

• Density-based clustering

• Grid-based clustering

Which of the following algorithms is an example of partitioning clustering?

• K-Means

• DBSCAN

• Agglomerative clustering

• BIRCH

Euclidean distance is best suited for:

• Finding similarities in categorical data

• Measuring straight-line distance between two points

• Text classification

• Time-series analysis

Which distance metric is also known as "taxicab" distance?

• Euclidean distance

• Manhattan distance

• Minkowski distance

• Hamming distance

Hamming distance is used for:

• Comparing continuous numerical values

• Clustering geographic locations

• Distance between floating-point numbers

• Measuring similarity between binary strings

Which distance metric is a generalization of both Euclidean and Manhattan distance?

• Minkowski distance

• Hamming distance

• Cosine similarity

• Jaccard distance

What is the Hamming distance between "1101" and "1001"?

• 1

• 2

• 3

• 4