Abstract: A method according to an aspect of the present disclosure includes combining pieces of first feature data and pieces of second feature data. Each of the pieces of first feature data is associated with first identification information related to a corresponding one or more of first constituents included in a first group and indicates a feature of the corresponding one or more of the first constituents. Each of the pieces of the second feature data corresponds to one of clusters in the second group. The second feature data includes statistic data associated with second identification information related to two or more of the second constituents included in a corresponding cluster. The statistic data has a statistic indicating a feature of two or more of the second constituents included in the corresponding cluster. The combining is performed based on the first identification information and the second identification information.

Abstract: The information processing system comprises a storage unit and a combining unit. The combining unit is configured to store first and second databases stored by the storage unit. The first database is provided with feature data of each virtual constituent, the feature data being generated by integrating feature data of a plurality of constituents identical or similar in feature based on the feature data of each constituent of a first group. The second database is provided with feature data of each constituent of a second group. Each of the feature data provided in the first and second databases, include reference data that represents a common type of feature. The combining unit combines the first database and the second database so as to combine the feature data identical or similar in feature represented by the reference data between the first database and the second database.