Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier
نویسندگان
چکیده
منابع مشابه
Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier
The k nearest neighbor is one of the most important and simple procedures for data classification task. The kNN, as it is called, requires only two parameters: the number of k and a similarity measure. However, the algorithm has some weaknesses that make it impossible to be used in real problems. Since the algorithm has no model, an exhaustive comparison of the object in classification analysis...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2017
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2017/4263064