13. A method of clustering a plurality of objects, having object types, object attributes, homogeneous relationships between objects of the same object type, and heterogeneous relationships between objects having different object types which do not comply with an independent and identically distributed (IID) statistical presumption, the method comprising: optimizing an object clustering of the plurality of objects in a plurality of latent object classes based on at least the object types, object attributes, homogeneous relationships, and heterogeneous relationships, by iteratively: updating a set of posteriors to maximize an expectation probability that an object is associated with a respective latent object class comprising, iteratively maximizing an objective function for each respective object while an assigned latent object class for all other objects is fixed, until no object changes in assigned latent object class occurs, and maximizing an objective function for the respective object, comprising minimizing a computed distance between an observation of the object attributes, homogeneous relationships, and heterogeneous relationships of a respective object and parameters of the corresponding expectation probability, and repeating until no object changes in assigned latent object class occurs, and updating the plurality of latent object classes based on the updated set of posteriors; and at least one of: communicating a latent object class associated with an object, communicating a set of objects within a latent object class, and responding to a query based on the optimized object clustering.
13. A method of clustering a plurality of objects, having object types, object attributes, homogeneous relationships between objects of the same object type, and heterogeneous relationships between objects having different object types which do not comply with an independent and identically distributed (IID) statistical presumption, the method comprising: optimizing an object clustering of the plurality of objects in a plurality of latent object classes based on at least the object types, object attributes, homogeneous relationships, and heterogeneous relationships, by iteratively: updating a set of posteriors to maximize an expectation probability that an object is associated with a respective latent object class comprising, iteratively maximizing an objective function for each respective object while an assigned latent object class for all other objects is fixed, until no object changes in assigned latent object class occurs, and maximizing an objective function for the respective object, comprising minimizing a computed distance between an observation of the object attributes, homogeneous relationships, and heterogeneous relationships of a respective object and parameters of the corresponding expectation probability, and repeating until no object changes in assigned latent object class occurs, and updating the plurality of latent object classes based on the updated set of posteriors; and at least one of: communicating a latent object class associated with an object, communicating a set of objects within a latent object class, and responding to a query based on the optimized object clustering. 19. The method according to claim 13 , wherein the plurality of objects comprise a set of hyperlinked objects, wherein the respective object attributes comprise an object information content and the relations between respective data objects comprise hyperlink information.