Non-transitory computer-readable recording medium storing machine learning program, machine learning method, and machine learning apparatus

A machine learning method implemented by a computer, the method comprising:

• inputting a plurality of pieces of data to a machine learning model, and acquiring a plurality of prediction results of the plurality of pieces of data;
• generating one or more pieces of data based on first data of which the prediction result indicates a first group among the plurality of pieces of data;
• executing clustering of the plurality of pieces of data and the one or more pieces of data based on a plurality of features of the plurality of pieces of data and the one or more pieces of data, which are obtained based on a parameter of the machine learning model;
• and
• updating the parameter of the machine learning model based on training data including the plurality of pieces of data and the one or more pieces of data for which results of the clustering are used as ground truth labels.

A machine learning apparatus comprising a control unit configured to perform processing comprising:

• inputting a plurality of pieces of data to a machine learning model, and acquiring a plurality of prediction results of the plurality of pieces of data;
• generating one or more pieces of data based on first data of which the prediction result indicates a first group among the plurality of pieces of data;
• executing clustering of the plurality of pieces of data and the one or more pieces of data based on a plurality of features of the plurality of pieces of data and the one or more pieces of data, which are obtained based on a parameter of the machine learning model;
• and
• updating the parameter of the machine learning model based on training data including the plurality of pieces of data and the one or more pieces of data for which results of the clustering are used as ground truth labels.