Answer Posted / 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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