METHOD TO DERIVE CLUSTER STRUCTURE FROM SIMILARITY-BASED NETWORK

摘要

According to one embodiment of the present invention, a method for deriving a cluster structure may comprise the steps of: modeling nodes into a full network, wherein the full network means that all nodes are completely connected to each other; measuring a degree of similarity between nodes included in the full network; and searching for a specific cluster in the full network based on the measured similarity. The method may perform more accurate similarity-based clustering.