Abstract: The described embodiments relate to methods and systems for data classification using a self-organizing map. Certain embodiments relate to a method of labeling data for training a classifier, comprising: obtaining data, the data comprising labeled data and unlabeled data; generating a self-organizing map of the data; and a labeling at least some of the unlabeled data based on proximity of the unlabeled data to labeled data within the self-organizing map to generate self-labeled data. The method may include training a classifier based on the labeled and self-labeled data. Other embodiments relate to systems and computer readable media configured to perform, or allow performance of, the method embodiments.

Abstract: The described embodiments relate to methods and systems for data classification using a self-organizing map. Certain embodiments relate to a method of labeling data for training a classifier, comprising: obtaining data, the data comprising labeled data and unlabeled data; generating a self-organizing map of the data; and a labeling at least some of the unlabeled data based on proximity of the unlabeled data to labeled data within the self-organizing map to generate self-labeled data. The method may include training a classifier based on the labeled and self-labeled data. Other embodiments relate to systems and computer readable media configured to perform, or allow performance of, the method embodiments.