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CICLING
2006
Springer

Improving kNN Text Categorization by Removing Outliers from Training Set

13 years 7 months ago
Improving kNN Text Categorization by Removing Outliers from Training Set
We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method--Centroid-based classifier. Outliers are the elements whose similarity to the centroid of the corresponding category is below a threshold.
Kwangcheol Shin, Ajith Abraham, Sang-Yong Han
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CICLING
Authors Kwangcheol Shin, Ajith Abraham, Sang-Yong Han
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