APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
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Example of unsupervised learning
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Nothing
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discover
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Clustering
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classified into two categories of algorithms:Clustering:A clustering problem is where you want to discover the inherent groupings in the data, such as grouping customers by purchasing behavior.
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Explanation:
Detailed explanation-1: -We can think of unsupervised learning problems as being divided into two categories: clustering and association rules. Clustering is an unsupervised learning technique, which groups unlabeled data points based on their similarity and differences.
Detailed explanation-2: -Clustering can be considered the most important unsupervised learning problem; so, as every other problem of this kind, it deals with finding a structure in a collection of unlabeled data.
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