Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Organizing documents into groups based on textual similarities is an example of which machine learning concept?

1. Classification

2. Regression

3. Clustering

4. Association

The correct answer is: Clustering

Organizing documents into groups based on textual similarities is a clear example of clustering, which is a type of unsupervised machine learning. Clustering involves grouping data points that are similar to each other within the same cluster while keeping them distinct from those in other clusters. In this scenario, documents are analyzed to find patterns and similarities in their text, allowing the algorithm to organize them accordingly without having predefined categories or labels. This contrasts with classification, where the algorithm is trained on labeled data to predict a specific category for new instances. It also differs from regression, which focuses on predicting continuous values rather than grouping. Association refers to finding relationships between variables in large datasets, which does not apply to organizing documents based on textual similarities. Therefore, clustering is the most appropriate concept for this scenario.