Evaluation of Clusters for Climate Data
Climate data analysis is a progressive research area that focuses on analysis of change of climate conditions, investigation of climate phenomena and evaluation of interconnections of climate conditions. Data mining techniques introduce the effective and efficient way to analyze large amount of data in climatology. In this paper is presented the algorithm for climate data analysis using the clustering data mining techniques. The developed solution represents evaluation of climate data from the different points of view in order to provide a complete view of the data. Climate research experts can use these results to draw their own conclusions and perform detailed climate change analysis. Climate data is represented graphically as the map of measured climate parameters, the map of climate clusters identified in specified moment of time and the map of evolution steps identified between the consecutive time slices. Key-Words: Data mining, clustering, climate, hierarchical clustering, meteorology, evolving clusters