Unsupervised pattern clustering for data mining
Katarzyna Wilamowska, Milos Manic · 2002
The problem of clustering multidimensional data with similar properties has been targeted in literature. In this paper, the authors have concentrated on the drawback of one of the often used methods, mountain clustering. A method that overcomes this problem is proposed. The method is tested on examples and results are graphically depicted.