Patent Document ID: 8700547
Application ID: 13477221

Base Claim:
1. A method of clustering data, comprising the steps of: (a) providing a set of first matrices relating to at least three types of objects, each respective first matrix comprising a set of features and a set of respective relations with respect to other objects; (b) automatically generating a second matrix, with at least one automated processor, comprising a set of values, which maximizes an objective function of the sets of first matrices, features and relations; and (c) automatically transforming each second matrix into a cluster indicator matrix, with at least one automated processor, wherein the second matrix is a function of at least: the set of first matrices, representing respective relations between distinct objects as members of m sets to be clustered into k p disjoint clusters, where p is an index running from 1 to m; at least one feature matrix denoting feature values for an associated object; a plurality of tentative cluster characterization matrices; and a set of weights for different types of relations and features.

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Claim 5:
5. The method of claim 1 , wherein at least one of the cluster indicator matrix associates an advertising object with other objects by placing the advertising objects in the same cluster with the other data, dependent on features and relations of the advertising objects.