COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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creation of some hidden structures
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Dynamic nature of these hidden structures
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Use of unlabeled data
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None of the above
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Detailed explanation-1: -Unsupervised learning algorithms are used to group cases based on similar attributes, or naturally occurring trends, patterns, or relationships in the data. These models also are referred to as self-organizing maps. Unsupervised models include clustering techniques and self-organizing maps.
Detailed explanation-2: -Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns in data without the need for human intervention (hence, they are “unsupervised”).
Detailed explanation-3: -Clustering and Association are two types of Unsupervised learning.
Detailed explanation-4: -“Clustering” is the process of grouping similar entities together. The goal of this unsupervised machine learning technique is to find similarities in the data point and group similar data points together. Why use Clustering?