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k-Nearest Neighbour Classifiers
Author(s)
Date Issued
2007-03-27
Date Available
2021-07-29T16:15:02Z
Abstract
Perhaps the most straightforward classifier in the arsenal or machine learning techniques is the Nearest Neighbour Classifier – classification is achieved by identifying the nearest neighbours to a query example and using those neighbours to determine the class of the query. This approach to classification is of particular importance today because issues of poor run-time performance is not such a problem these days with the computational power that is available. This paper presents an overview of techniques for Nearest Neighbour classification focusing on; mechanisms for assessing similarity (distance), computational issues in identifying nearest neighbours and mechanisms for reducing the dimension of the data.
Type of Material
Technical Report
Publisher
University College Dublin. School of Computer Science and Informatics
Series
UCD CSI Technical Reports
UCD-CSI-2007-3
Copyright (Published Version)
2007 the Authors
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
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