• Himesh Parmar
• Prof. Swarndeep Saket

Data mining is the pattern of sorting through large dataset to identify pattern and establish relationship to solve problem through data analysis. Clustering is the grouping of a particular set of objects based on their characteristics, aggregating them according to their similarities. So using purposed flows we will work on clustering approach for batter weather data analysis. Reliable weather forecasting is one of the challenging tasks. One of most common difficulty is the accuracy and efficiency. In this paper we try to improve accuracy and efficiency using efficient clustering mechanism. Here accuracy of this approach is also measured.

Clustering; Weather Forecasting; Convex-Hull; K-Means; Prediction

"An Efficient and Accurate Clustering Mechanism to Predict Weather Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.192-196, May-2018, Available :http://www.jetir.org/papers/JETIR1805037.pdf

"An Efficient and Accurate Clustering Mechanism to Predict Weather Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp192-196, May-2018, Available at : http://www.jetir.org/papers/JETIR1805037.pdf