CT-AI Question #1: Real Exam Question with Answer & Explanation

The correct answer is C. Clustering is done without prior knowledge of output classes.. Clustering is a type of machine learning technique used to group similar data points into clusters. It is a key concept in unsupervised learning, where the algorithm tries to find patterns or groupings in data without prior knowledge of output classes. In clustering, the algorith

Question

Which ONE of the following options BEST DESCRIBES clustering?

Options

AClustering is classification of a continuous quantity.
BClustering is supervised learning.
CClustering is done without prior knowledge of output classes.
DClustering requires you to know the classes.

Explanation

Clustering is a type of machine learning technique used to group similar data points into clusters. It is a key concept in unsupervised learning, where the algorithm tries to find patterns or groupings in data without prior knowledge of output classes. In clustering, the algorithm groups data points into clusters without any prior knowledge of the classes. It discovers the inherent structure in the data.

Community Discussion

No community discussion yet for this question.

Full CT-AI Practice