A K-medoids clustering algorithm for mixed feature-type symbolic data - researchr publication related

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Elaine Cristina de Assis, Renata M. C. R. de Souza. A K-medoids clustering algorithm for mixed feature-type symbolic data. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Anchorage, Alaska, USA, October 9-12, 2011. pages 527-531, IEEE, 2011. [doi]

The following publications are possibly variants of this publication:

A Dynamic Clustering Method for Mixed Feature-Type Symbolic DataRenata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato. In Vladimir Batagelj, Hans-Hermann Bock, Anuska Ferligoj, Ales Ziberna, editors, Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, pages 203-210, Springer, 2006. [doi]

Unsupervised pattern recognition models for mixed feature-type symbolic dataFrancisco de A. T. de Carvalho, Renata M. C. R. de Souza. prl, 31(5):430-443, 2010. [doi]

A Clustering Method for Mixed Feature-Type Symbolic Data using Adaptive Squared Euclidean DistancesRenata M. C. R. de Souza, Francisco de A. T. de Carvalho. his 2007: 168-173 [doi]

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