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What is the EM algorithm used for?
a. Clustering
b. Regression
c. All of the above
d. Classification

Sagot :

Mikeking6304idn

Answer:

a. Clustering

Explanation:

The Expectation-Maximization (EM) algorithm is primarily used for clustering, especially in scenarios where the data contains hidden or latent variables. It is often used to find maximum likelihood estimates of parameters in probabilistic models, such as Gaussian Mixture Models (GMMs).

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