Application of LVQ to novelty detection using outlier training data

We propose to use learning vector quantization (LVQ) in novelty detection where a few outliers exist in training data. The codebook update of original LVQ is modified and the scheme to determine a threshold for each codebook is proposed. Experimental results on artificial and real-world problems are quite promising.

• Type: Journal
• Year: 2006
• Where: PRL
• Authors: Hyoungjoo Lee, Sungzoon Cho
• Keywords: Codebook Update, Original Lvq, PRL 2006, Training Data