A learning method for small data sets with multimodality variables
This paper proposes a new approach to generate virtual sample for learning small data set considering a distribution with multimodality. This modality test strategy is mainly aimed at assessing data clustering by using a hypothesis testing based on a uni-modality function. One data set is provided to check the effectiveness of the proposed approach.