Generalized K-Nearest Neighbour Algorithm- A Predicting Tool

نویسندگان

  • Minakshi Sharma
  • Suresh Kumar Sharma
چکیده

k-nearest neighbour algorithm is a non-parametric machine learning algorithm generally used for classification. It is also known as instance based learning or lazy learning. K-NN algorithm can also be adapted for regression that is for estimating continuous variables. In this research paper the researcher endow with a generalized K-nearest algorithm used for predicting a continuous value. In order to better understand the proposed general method is used to forecast the value of maximum humidity. The experimental setup was developed using MATLAB. The interesting facts so obtained are presented in this research paper. Keywords— KNN, Prediction, Mean Square Error, Humidity

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تاریخ انتشار 2013