In this new rule, instead of the original nearest neighbor of unclassified pattern x, a new nearest neighbor (we shall name it the pseudo nearest neighbor, PNN) is decided according to the value of the weighted sum of distances of the local k-nearest neighbors of unclassified pattern in each class of the prototypes, ...
In this paper, we propose a new pseudo nearest neighbor classification rule (PNNR). It is different from the previous nearest neighbor rule (NNR), ...
In this paper, we propose a new pseudo nearest neighbor classification rule (PNNR). It is different from the previous nearest neighbor rule (NNR), ...
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The method introduces the pseudo neighbor, which is not the actual nearest neighbor; but a new nearest neighbor is selected on the basis of value of weighted ...
k-Nearest neighbor (KNN) rule is a very simple and powerful classification algorithm. In this article, we propose a new KNN-based classifier, ...
Abstract—K-nearest neighbor (KNN) rule is a very simple and efficient non-parametric classification algorithm that is widely used in machine learning.
Abstract - In this paper, we propose a generalized nearest neighbor classification rule (GNNR).It is similar to but different from the previous nearest ...
The K-nearest neighbor (KNN) decision rule has been a ubiquitous classification tool with good scalability. Past experience has shown that the optimal ...
Aug 13, 2024 · The k-nearest neighbor algorithm is a powerful classification method. However, its classification performance will be affected in small-size ...
The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points.