Application of K-nearest neighbour predictor for classifying trust of B2C customers
K-nearest neighbor (k-NN) classification is one of the most fundamental classification methods and should be one of the first choices for a classification study when there is little or no prior knowledge about the distribution of the data. In addition, nearest neighbor analysis is a method for class...
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Main Authors: | , , , , , |
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Format: | Article |
Published: |
2012
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/46619/ |
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Institution: | Universiti Teknologi Malaysia |