In this paper, we present an incremental clustering algorithm in the logical combinatorial approach to pattern recognition, which finds incrementally the β0-compact sets with radius a of an object collection. The proposed algorithm allows generating an intermediate subset of clusters between the β0-connected components and β0-compact sets (including both of them as particular cases). The evaluation experiments on standard document collections show that the proposed algorithm out-performs the algorithms that obtain the β0-connected components and the β0-compact sets. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Pons-Porrata, A., Díaz, G. S., Cortés, M. L., & Ramírez, L. A. (2005). An incremental clustering algorithm based on compact sets with radius α. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 518–527). https://doi.org/10.1007/11578079_54
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