PER-ATTRIBUTE DATA CLUSTERING USING TRI-POINT DATA ARBITRATION

Systems, methods, and other embodiments associated with clustering using tri-point arbitration are described. In one embodiment, a method includes selecting a data point pair and a set of arbiter points. A tri-point arbitration similarity is calculated for data point pairs based, at least in part, o...

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Bibliographische Detailangaben
Hauptverfasser: BOUGAEV ANTON A, WOOD ALAN PAUL, URMANOV ALEKSEY M
Format: Patent
Sprache:eng
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Zusammenfassung:Systems, methods, and other embodiments associated with clustering using tri-point arbitration are described. In one embodiment, a method includes selecting a data point pair and a set of arbiter points. A tri-point arbitration similarity is calculated for data point pairs based, at least in part, on a distance between the first and second data points and the arbiter points. In one embodiment, similar data points are clustered.