microaggregation
Microaggregation is a data anonymization technique used to protect privacy in statistical databases. The core idea is to group similar records together and replace each record with the aggregated values of its group. This process creates a k-anonymous dataset, where k is the size of each group. The goal is to make it difficult to identify individuals within the dataset by ensuring that any record in the anonymized dataset belongs to a group of at least k individuals with similar characteristics.
The process typically involves defining a similarity metric and a grouping algorithm. Records are considered similar
Microaggregation is particularly useful for protecting sensitive information in datasets where direct identifiers are present. It