Cluster sampling is a probability sampling technique where researchers randomly select larger groupings or 'clusters' of individuals—such as entire small towns or specific schools—and then randomly sample individuals from within those chosen clusters. This method minimizes travel and logistical costs for face-to-face interviews and is uniquely the only probability sampling approach that does not require a comprehensive sampling frame of the entire population.