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IJBIDM
2007

An efficient weighted nearest neighbour classifier using vertical data representation

11 years 11 months ago
An efficient weighted nearest neighbour classifier using vertical data representation
: The k-nearest neighbour (KNN) technique is a simple yet effective method for classification. In this paper, we propose an efficient weighted nearest neighbour classification algorithm, called PINE, using vertical data representation. A metric called HOBBit is used as the distance metric. The PINE algorithm applies a Gaussian podium function to set weights to different neighbours. We compare PINE with classical KNN methods using horizontal and vertical representation with different distance metrics. The experimental results show that PINE outperforms other KNN methods in terms of classification accuracy and running time.
William Perrizo, Qin Ding, Maleq Khan, Anne Denton
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2007
Where IJBIDM
Authors William Perrizo, Qin Ding, Maleq Khan, Anne Denton, Qiang Ding
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