The research paper's abstract provides a brief
introduction to the subject of forecasting the weather,
discusses the applications and limitations of K-Means
clustering and ANNs (artificial neural networks) in
weather forecasting, and identifies a comparison of these
two approaches as the primary goal of the study. It
finishes by highlighting the significance of integrating
different methodologies for precise weather forecasting
and briefly referencing relevant work.
Keywords : "Weather Forecasting," "K-Means Clustering," "Artificial Neural Networks," "Ml," "Comparative Analysis," And "Meteorological Data."