TEMPERATURE AND TIME SERIES ANALYSIS USING CLUSTERIN AND SIMPLE K-MEANS

Abstract

The process of analysing the temperature and time series of various Brazilian states and analysing the highest temperature state. The process of comparing the state temperature from January to December and also the comparison of the first three months January to March, April to June, July to September, October to December as they show the different temperatures that are registered under those three months periods. the process of analysing the temperatures give the clear variations weather they have increased or decreased if so, they have increased gradually from month to month or they have decreased from month to month. There are fluctuations (ups and downs) in the month to month differences. As the result will give some remedies how to control if they are high and if they are moderate how to maintain the ecological balances and maintain the temperature. The analysis are made through the clustering and the simple k- means. As the process of identifying the temperature performance and also the nearest clusters and centroid.