Understanding The Concept of Clustering In Unsupervised Learning

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This stream of machine learning where we do not rely on a labeled data set which has a target variable already defined instead rely upon clustering the data sets into groups. Unsupervised learning is a kind of self-organized Hebbian learning that helps the machine to find previously unknown patterns in data set without pre-existing labels. In this machine learning technique, the cluster of the data is not labeled, classified or categorized. Instead of responding to feedback, cluster analysis identifies commonalities in the data and reacts based on the presence or absence of such commonalities.