Predictive model clustering

Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is crea...

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Bibliographische Detailangaben
Hauptverfasser: Cogill, Randall L, Bouillet, Eric, Sheehan, John, Hoang, Thanh L, Chen, Bei, Nair, Rahul, Laumanns, Marco, Lynch, Karol W, Pompey, Pascal
Format: Patent
Sprache:eng
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Zusammenfassung:Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is created in the model property vector space for each of the plurality of data instances. A target number of clusters is identified and used to perform a data clustering procedure. An output is generated comprising a plurality of data segments and one or more clustering rules. For each data cluster, a predictive model is constructed for each data segment of the plurality of data segments.