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LVQ-SMOTE – Learning Vector Quantization based Synthetic Minority Over–sampling Technique for biomedical data

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Figure

Figure 1 Example of codebooks obtained by Learning Vector Quantization. These codebooks areextracted from the samples in Iris dataset [12]
Figure 2 Flow of the proposed over-sampling method. The numbered methods are executed inascending sequence.
Figure 4 Example of generated synthetic samples by our proposed method. The four synthetic samplesin T1 are the actual four samples taken from R1, where T is a target dataset and R is a reference dataset.
Table 1 Benchmark datasets used for our experiments
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