Price clustering is a well-documented regularity of foreign exchange transactions. In this Paper, I present new … empirical evidence of price clustering for central bank interventions. A feature of the price clustering in Swiss National Bank … (SNB) transactions is market dependency. Evidence of clustering in the broker market is considerably smaller than in the …

clustering technique in order to analyse the database of accidents and predict the process risk. The case-based reasoning is used … clustering approach ensures effective risk managing in shipbuilding process designing. Results show that by selection of adequate … consideration of fuzzy clustering method is desirable in the future. The analysis in the case study is simplified. The use of the …

negative polarity across the different algorithms. Clustering results show that both K-Means and spherical K-Means algorithms …

strategies and their application to portfolio selection, model estimation, model selection and financial clustering. …

. Design/methodology/approach – The paper proposes a method for defining neighbourhoods using Thiessen polygons. The clustering … technique is based on fuzzy equality. Clustering is started at different geographical levels: municipalities, traffic analysis … Thiessen polygons as a transition from points to continuous space can outline a base for the use of different clustering …