Honda Motor Co., Ltd.
INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND ABNORMALITY DETERMINATION SYSTEM

Abstract:

In an information processing method of an embodiment, a computer is configured to divide observation data into training data and test data, select non-target data from the training data, select a parameter combination from a parameter set corresponding to the non-target data, classify the non-target data as clusters in a feature space of the parameter combination under clustering setting conditions, generate, for each of the clusters, a model trained to output target data included in the training data when the non-target data of the clusters is input, and reselect the parameter combination or change the clustering setting conditions such that a difference between the target data output from the model and the target data of the test data decreases.