Clustering — Microsoft Azure AI Fundamentals (AI-900) Practice Questions
Clustering is an unsupervised learning technique that groups data points together based on their similarity, without using predefined labels or categories. On the AI-900 exam, clustering is contrasted with supervised tasks to illustrate scenarios where the goal is to discover natural groupings in data, such as segmenting customers by purchasing behavior. Azure Machine Learning supports clustering algorithms, and the exam may present scenarios asking candidates to identify clustering as the appropriate approach when no labeled training data exists.
Free questions on clustering
What is the difference between classification and clustering in machine learning?
Free question · medium · full answer + explanation
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