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Question 21 - H13-311_V3.5 discussion

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An algorithm of unsupervised learning classifies samples in a dataset into several categories. Samples belonging to the same category have high similarity.

A.
TRUE
Answers
A.
TRUE
B.
FALSE
Answers
B.
FALSE
Suggested answer: A

Explanation:

In unsupervised learning, the goal is to find hidden patterns or intrinsic structures in input data without labeled outcomes. One common unsupervised learning task is clustering, where an algorithm groups the dataset into several categories or clusters. Samples within the same cluster have high similarity based on certain features, while samples in different clusters have low similarity. Examples of clustering algorithms include k-means and hierarchical clustering.

asked 26/09/2024
George Weine Paulino Chaves
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