Noisy Data Elimination Using Mutual K-Nearest Neighbor For Classification Mining

Publisher:
Elsevier Science Inc
Publication Type:
Journal Article
Citation:
Journal Of Systems And Software, 2012, 85 (5), pp. 1067 - 1074
Issue Date:
2012-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011005458OK.pdf483.17 kB
Adobe PDF
k nearest neighbor (kNN) is an effective and powerful lazy learning algorithm, notwithstanding its easy-to-implement. However, its performance heavily relies on the quality of training data. Due to many complex real-applications, noises coming from vario
Please use this identifier to cite or link to this item: