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There are several successful approaches dealing with imbalanced datasets. In this paper, the Fuzzy Labeled Neural Gas (FLNG) is extended to work with this type of data. The proposed approach is based on assigning two different values in the learning rate depending on the data vector membership of the class. The technique is tested with several datasets and compared with other approaches. The results...
The self-organizing map (SOM) is a suitable algorithm for data visualization but its topological preservation makes the vector quantization non-optimal. This paper aims to improve the lack of quantization precision in the SOM. An energy cost function based on two different kernels is formulated to obtain a batch algorithm. A bivariate normal distribution is assumed to weight the topological preservation...
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