What are the techniques used in unsupervised learning

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What are the techniques used in unsupervised learning?

May 10, 2019 in Machine Learning by Mishra
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There are two main techniques used in machine learning:

Association: Association rule finds useful associations and relationships among large sets of data items. This rule shows how frequently a itemset occurs in a transaction. A typical example is a Market Based Analysis.

Clustering: Clustering is the task of dividing the data points into a number of groups such that the data points in the same groups are similar. It is basically a collection of objects on the basis of similarity and dissimilarity between them. 

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answered May 10, 2019 by Rhea

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