Classification and Clustering

Which of the following is a classification algorithm?

• K-means

• DBSCAN

• Decision Tree

Which metric is commonly used to evaluate the performance of a classification model?

• Accuracy

• Sum of Squared Errors

• Mean Absolute Error

What is the purpose of the confusion matrix in classification?

• To visualize the data distribution

• To evaluate the clustering quality

• To summarize the prediction results

Which algorithm is best suited for a binary classification problem?

• K-mean

• Logistic Regression

• KNN

Which of the following is a non-hierarchical clustering algorithm?

• K-means

• Dendogram

• Ward’s Method

What is the goal of clustering in data analysis?

• To predict a target variable

• To group similar items together

• To reduce the number of features

What is the primary difference between agglomerative and divisive hierarchical clustering?

• There is no difference; they are the same

• Agglomerative starts with all points as clusters and merges them, while divisive starts with one cluster and splits it

• Agglomerative is used for large datasets, while divisive is for small datasets

Which of the following is a density-based clustering algorithm?

• Agglomerative Clustering

• DBSCAN

• K-means