Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process that includes acquiring a dataset without including correct answer data, generating a first constraint condition used to maximize mutual information between each data point included in the dataset and a class label assigned to the each data point, generating a second constraint condition that reduces a distribution distance regarding class labels assigned to two data points between which a Euclidean distance is closer than a predetermined value, generating a third constraint condition that reduces a distribution distance regarding class labels assigned to data points estimated to have a same class label, and increases a distribution distance regarding class labels assigned to data points estimated to have different class labels, and training a neural network that performs data classification, by performing optimization processing based on the first, second, and third constraint conditions.