BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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Clustering analysis has been a very active area of research in the data mining community. However, most algorithms have ignored the fact that physical obstacles exist in the real world and could thus affect the result of clustering dramatically. In this paper, we will look at the problem of clustering in the presence of obstacles. We called this problem the COE (Clustering with Obstacles Entities) problem and provide an outline of an algorithm called COE-CLARANS to solve it.