Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence

The k-nearest neighbor rule is one of the most attractive pattern classification algorithms. In practice, the value of k is usually determined by the cross-validation method. In this work, we propose a new method that locally determines the number of nearest neighbors based on the concept of statist...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Jigang, Neskovic, Predrag, Cooper, Leon N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Feature Space Lower Error Rate Majority Rule Posteriori Probability Query Point
Online-Zugang:	Volltext
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