Applying Clustering technique on Climatic Data

Climate data analysis performed in order to understand climate change process and effect of different environmental factors in that change, has been focus of interest of researches for many years. Climate change disturbs natural balance, leading to endangerment of many species and their habitats. Data mining techniques provide better and faster analysis of large amounts of data in climatology. Data Mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data. It has also opened up exciting opportunities for exploring and analyzing new types of data and for analyzing old types of data in new ways. This paper focused on applying few clustering techniques on Climatic data and inferences are studied. 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 data analysis.