Abstract
National Statistical Offices collect data from respondents and then publishes them. To avoid disclosure, data is protected before the release. One of the existing masking methods is microaggregation. This method is based on obtaining a set of clusters (clustering stage) and then aggregating the values of the elements in the cluster (aggregation stage). In this work we propose the use of fuzzy c-means in the clustering stage.
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References
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Domingo-Ferrer, J., Torra, V. (2002). Towards Fuzzy c-means Based Microaggregation. In: Grzegorzewski, P., Hryniewicz, O., Gil, M.Á. (eds) Soft Methods in Probability, Statistics and Data Analysis. Advances in Intelligent and Soft Computing, vol 16. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1773-7_29
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DOI: https://doi.org/10.1007/978-3-7908-1773-7_29
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1526-9
Online ISBN: 978-3-7908-1773-7
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