Abstract: An aggregated data clustering method and system. First, the data points to be clustered and a size parameter are received. The size parameter specifies the number of data points to be moved at one time in the clustering algorithm. Next, the data points are clustered by using an aggregated clustering algorithm (e.g., aggregated local K-Means clustering algorithm) and the size parameter to generate clustered results. Then, a determination is made whether of not the clustered results are satisfactory. If the clustered results are satisfactory, the clustering is stopped. Otherwise, a modified or refined parameter size is received. Then, clustering is performed on the clustered results generated previously by using the aggregated clustering algorithm and the revised or refined parameter size. The steps of determining, modifying the parameter size, and aggregated clustering are repeated until satisfactory clustering results are achieved.

Abstract: An inter-enterprise communication and service invocation mechanism for enabling communication between agents in different domains and the invocation by a first agent in a first domain (e.g., a first enterprise) of services offered by an agent in a second domain. Each domain has a point of presence for accessing agents and services provided thereby. The point of presence can be a coordinator in a domain that includes a plurality of agents. The coordinator first registers a send-message service with a service bus (e.g., E-speak service bus). During registration, the coordinator provides a client-side interface for accessing the messaging service of the coordinator. When an agent in another domain (e.g., a second enterprise) communicates with agents in the first domain, the send-message service of the coordinator is employed. Specifically, the message is directed to the point of presence (POP), which is the coordinator of the first domain.