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Definitions for cluster sampling. Cluster sampling. Cluster sampling is a sampling technique used when natural but relatively homogeneous groupings are evident in a statistical population. It is often used in marketing research.
k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining.k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.This results in a partitioning of the data space into Voronoi cells.n cluster analysis, the k-means algorithm can be used to partition the input data set into k partitions (clusters). However, the pure k-means algorithm is not very flexible, and as such is of limited use (except for when vector quantization as above is actually the desired use case!).