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http://hdl.handle.net/10609/83567
Title: | Application of clustering techniques to privacy protection |
Author: | Alarte Aleixandre, Julián |
Tutor: | Solanas, Agusti |
Abstract: | This work proposes to study the application of other clustering techniques to ensure the k-anonymity, concretely the hierarchical agglomerative clustering algorithm (HAC). The main goal of this clustering technique is to build a hierarchy of clusters. Particularly, the hierarchical agglomerative clustering is a bottom up technique. Hence, initially it supposes each observation as a cluster and then it merges pairs of clusters while the hierarchy increases. |
Keywords: | microaggregation clustering k-anonymity MDAV |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 11-Jun-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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jalarteTFM0618memory.pdf | Memory of TFM | 1,96 MB | Adobe PDF | View/Open |
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