Title :
On intuitionistic fuzzy clustering for its application to privacy
Author :
Torra, Vicenc ; Miyamoto, Sadaaki ; Endo, Yasunori ; Domingo-Ferrer, Josep
Author_Institution :
Inst. d´´Investigacio en Intel-ligencia Artificial, CSIC, Bellaterra
Abstract :
Motivated by our research on specific information loss measures (in privacy preserving data mining) and our need to compare fuzzy clusters, we proposed in a recent paper a definition for intuitionistic fuzzy partitions. We showed how to define them in the framework of fuzzy clustering. That is, we introduced a method to define intuitionistic fuzzy partitions from the results of fuzzy clustering. In this paper we further study such intuitionistic fuzzy partitions and we extend our previous results with other types of fuzzy clustering algorithms.
Keywords :
data mining; data privacy; fuzzy set theory; pattern clustering; data mining; information loss measures; intuitionistic fuzzy clustering; Clustering algorithms; Clustering methods; Data privacy; Distortion measurement; Fuzzy sets; Loss measurement; Machine learning algorithms; Partitioning algorithms; Protection; Systems engineering and theory;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630498
