Climate Data Analysis Using Clustering Data Mining Techniques

摘要

Climate data analysis is an active research area, focused on analysis of change of climate conditions, analysis of climate phenomena, analysis of interconnections of climate conditions. Data mining techniques provide better and faster analysis of large amounts of data in climatology. This paper is focused on development of algorithm for climate data analysis using clustering data mining techniques. Developed solution represents climate data from different points of view in order to provide a complete view of the data for researchers from which they can draw their own conclusions and perform detailed climate change analysis. Climate data is represented graphically as a map of measured climate parameters, map of climate clusters identified in specified moment and map of evolution steps identified between consecutive time slices.