Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach

2 Sep 2014Ahmad Basheer HassanatMohammad Ali AbbadiGhada Awad AltarawnehAhmad Ali Alhasanat

This paper presents a new solution for choosing the K parameter in the k-nearest neighbor (KNN) algorithm, the solution depending on the idea of ensemble learning, in which a weak KNN classifier is used each time with a different K, starting from one to the square root of the size of the training set. The results of the weak classifiers are combined using the weighted sum rule... (read more)

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