Application of LVQ to novelty detection using outlier training data
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 27 شماره
صفحات -
تاریخ انتشار 2006