Adaptive cluster sampling is a probabilistic design tailored to populations that exhibit rare or spatially clustered features, such as endangered species, epidemic cases or hidden cultural artefacts.

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...