TRIPOINT ARBITRATION FOR ENTITY CLASSIFICATION

摘要

Systems, methods, and other embodiments associated with tripoint arbitration for data classification are described. In one embodiment, a method includes receiving a query data point for classification, an arbiter point, a first set of classified data points belonging to a first class and a second set of classified data points belonging to a second class. A class-aggregated similarity metric for the query data point and each set is determined based, at least in part, on tripoint arbitration coefficients for data point pairs that include the query data point and a classified data point in the set, as calculated using the arbiter point. The query data point is classified based on a comparison of the similarity metric determined for the first set and the similarity metric determined for the second set.