Clustering Quiz

What is the primary focus of supervised learning?

• Exploratory data analysis

• Identifying subgroups in data

• Finding structure in data

• Building a model to predict an output

Which of the following is a type of clustering algorithm?

• Linear regression

• Classification

• Regression

• K-means

What does K-modes clustering specifically cater to?

• Numerical data

• Categorical data

• Time series data

• Text data

What is the main goal of clustering?

• To classify data points

• To identify subgroups in data

• To analyze time series

• To predict future values

Which algorithm is known for being robust to noise?

• K-means

• K-modes

• DBSCAN

• Mean-Shift

What is the first step in the K-means algorithm?

• Choose random data points

• Specify the number of clusters

• Assign points to the nearest centroid

• Recalculate centroids

What does density-based clustering identify?

• Clusters based on distance

• Clusters based on density

• Clusters based on time

• Clusters based on labels

Which clustering algorithm does not require specifying the number of clusters beforehand?

• K-modes

• K-means

• Affinity Propagation

• DBSCAN

What is the purpose of the Expectation-Maximization strategy in K-means?

• To assign data points to clusters

• To compute the centroid of each cluster

• To initialize centroids

• To minimize intra-cluster variance

What is a key feature of K-means clustering?

• Density-based

• Mode-based

• Centroid-based

• Graph-based