The recursive scheme of clustering
Alicja Miniak-Górecka Krzysztof Podlaski Tomasz Gwizdałła
The problem of data clustering is one of the most important in data analysis.
It can be problematic when dealing with experimental data characterized by
measurement uncertainties and errors. Our paper proposes a recursive scheme for
clustering data obtained in geographical (climatological) experiments. The
discussion of results obtained by k-means and SOM methods with the developed
recursive procedure is presented. We show that the clustering using the new
approach gives more acceptable results when compared to experts assessments.