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Why is clustering required in data analysis?
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Answer / Siraj Ahmad
Clustering is an essential technique in data analysis for several reasons. First, it helps to discover hidden patterns and structures within the dataset that may not be apparent through other means.nnSecondly, clustering can help to group similar objects together, which can provide insights into their underlying properties and relationships. This can be useful for segmentation, targeting, or understanding customer behavior in marketing, for example.nnFinally, clustering can help in reducing the dimensionality of high-dimensional datasets by projecting them onto a lower-dimensional space without losing too much information.
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