Microaggregation is a statistical disclosure control technique for microdata. Raw microdata (i.e. individual records) are grouped into small aggregates prior to publication. Each aggregate should contain at least k records to prevent disclosure of individual information. Fixed-size microaggregation consists of taking fixed-size microaggregates (size k). Data-oriented microaggregation (with variable group size) was introduced recently. Regardless of the group size, microaggregations on a multidimensional data set can be formed using univariate techniques on projected data or using multivariate techniques. This paper presents the first method for multivariate fixed-sixe microaggregation. In addition, a real data set is used to compare the information loss and output data quality of fixed-size vs. data-oriented, and univariate vs. multivariate microaggregation.
@article{urn:eudml:doc:40258,
title = {A comparative study of microaggregation methods.},
journal = {Q\"uestii\'o},
volume = {22},
year = {1998},
pages = {511-526},
zbl = {1167.62438},
language = {en},
url = {http://dml.mathdoc.fr/item/urn:eudml:doc:40258}
}
Mateo Sanz, Josep Maria; Domingo Ferrer, Josep. A comparative study of microaggregation methods.. Qüestiió, Tome 22 (1998) pp. 511-526. http://gdmltest.u-ga.fr/item/urn:eudml:doc:40258/