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Nearest neighbour classification model in avalanche prediction- a review

Author Affiliations

  • 1P.G. Department of Computer Science, S.N.D.T. Women’s University, Mumbai-400049, India
  • 2P.G. Department of Computer Science, S.N.D.T. Women’s University, Mumbai-400049, India

Int. Res. J. Earth Sci., Volume 5, Issue (9), Pages 18-23, October,25 (2017)

Abstract

Prediction of snow avalanche has come a long way since its inception. Nearest neighbour algorithm which mainly incorporates the use of snow-meteorological variables as input for finding the probability of avalanche occurrence, forms an integral part in these prediction algorithms. These methods search the historical data to find days with similar conditions and events that are associated with them to formulate a forecast for the current day. The early methods that began by using simple implementation of nearest neighbour have now been modified so as to find a more accurate forecasting model. In this paper, we present the study of the nearest neighbour classification models that have been used for the prediction of snow avalanche.

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