Method for creating machine learning model for outputting feature map

A method of creating a machine learning model comprising:

• receiving a plurality of data for learning;
• classifying each of the plurality of data for learning into a respective initial cluster of a plurality of initial clusters by using an initial machine learning model, the initial machine learning model being caused to at least learn to output a feature of an inputted datum from the datum;
• reclassifying the plurality of initial clusters into a plurality of secondary clusters based on the plurality of data for learning classified into the respective plurality of initial clusters;
• and
• creating a machine learning model by causing the initial machine learning model to learn a relationship between the plurality of initial clusters and the plurality of secondary clusters, the machine learning model classifying an inputted datum into one of the plurality of secondary clusters.

A system for creating a machine learning model, comprising:

• receiving means for receiving a plurality of data for learning;
• classifying means for classifying each of the plurality of data for learning into a respective cluster of a plurality of initial clusters by using an initial machine learning model, the initial machine learning model being caused to at least learn to output a feature of an inputted datum from the datum;
• reclassifying means for reclassifying the plurality of initial clusters into a plurality of secondary clusters based on the plurality of data for learning classified into the respective plurality of initial clusters;
• and
• creating means for creating a machine learning model by causing the initial machine learning model to learn a relationship between the plurality of initial clusters and the plurality of secondary clusters, the machine learning model classifying an inputted datum into one of the plurality of secondary clusters.

A computer readable storage medium for storing a program for creating a machine learning model, the program being executed in a computer system comprising a processing unit, the program causing the processing unit to execute processing comprising:

• receiving a plurality of data for learning;
• classifying each of the plurality of data for learning into a respective cluster of a plurality of initial clusters by using an initial machine learning model, the initial machine learning model being caused to at least learn to output a feature of an inputted datum from the datum;
• reclassifying the plurality of initial clusters into a plurality of secondary clusters based on the plurality of data for learning classified into the respective plurality of initial clusters;
• and
• creating a machine learning model by causing the initial machine learning model to learn a relationship between the plurality of initial clusters and the plurality of secondary clusters, the machine learning model classifying an inputted datum into one of the plurality of secondary clusters.