Unsupervised Learning Quiz

What is the primary goal of unsupervised learning?

• To classify labeled data

• To discover patterns in unlabeled data

• To predict future outcomes

• To optimize supervised learning models

Which of the following is NOT a step in the unsupervised learning process?

• Model Evaluation

• Interpretation and Application

• Data Collection and Preparation

• Data Labeling

What type of data does unsupervised learning work with?

• Labeled data

• Unlabeled data

• Structured data only

• Time-series data

Which algorithm is commonly used for clustering in unsupervised learning?

• Decision Tree

• Support Vector Machine

• K-means

• Linear Regression

What does the DBSCAN algorithm primarily identify?

• Linear relationships

• Hierarchical structures

• Clusters based on density

• Time-series patterns

In which application would unsupervised learning be useful?

• Classifying emails as spam or not

• Predicting stock prices

• Forecasting weather

• Customer segmentation

What is the purpose of dimensionality reduction in unsupervised learning?

• To create labeled datasets

• To enhance supervised learning

• To simplify data visualization

• To increase the number of features

Which of the following algorithms is an example of association rule learning?

• K-means

• Apriori Algorithm

• DBSCAN

• PCA

What is a key characteristic of clustering algorithms?

• They predict future outcomes

• They are only used for time-series data

• They group data based on similarities

• They require labeled data

How does the Elbow Method help in unsupervised learning?

• It visualizes data relationships

• It cleans the dataset

• It evaluates model performance

• It determines the optimal number of clusters