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What is Cluster Sampling in Machine Learning?
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Answer / Chandra Prakash
Cluster sampling is a type of probabilistic sampling technique used in Machine Learning and statistics. In cluster sampling, the population is first divided into clusters (subgroups), and then a random sample of clusters is selected for further analysis. Each selected cluster is then used to draw a simple random sample of observations.
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