ARSkNN-A k-NN Classifier Using Mass Based Similarity Measure
نویسندگان
چکیده
منابع مشابه
NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier
k-nearest neighbors (k-NN), which is known to be a simple and efficient approach, is a non-parametric supervised classifier. It aims to determine the class label of an unknown sample by its k-nearest neighbors that are stored in a training set. The k-nearest neighbors are determined based on some distance functions. Although k-NN produces successful results, there have been some extensions for ...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2015
ISSN: 1877-0509
DOI: 10.1016/j.procs.2015.02.044