COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Yes, It is supervised
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No, it is unsupervised.
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Either A or B
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None of the above
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Detailed explanation-1: -The traditional Gaussian Mixture Model (GMM) for pattern recognition is an unsupervised learning method.
Detailed explanation-2: -The Gaussian Mixture Models (GMM) algorithm is an unsupervised learning algorithm since we do not know any values of a target feature. Further, the GMM is categorized into the clustering algorithms, since it can be used to find clusters in the data.
Detailed explanation-3: -Unsupervised learning has been widely used in many real-world applications. One of the simplest and most important unsupervised learning models is the Gaussian mixture model (GMM).
Detailed explanation-4: -Brief: Gaussian mixture models is a popular unsupervised learning algorithm. The GMM approach is similar to K-Means clustering algorithm, but is more robust and therefore useful due to sophistication.
Detailed explanation-5: -Gaussian mixture models (GMMs) are often used for data clustering. You can use GMMs to perform either hard clustering or soft clustering on query data. To perform hard clustering, the GMM assigns query data points to the multivariate normal components that maximize the component posterior probability, given the data.