Abstract: Clustering techniques for data analysis are provided. In one aspect, a method for finding clusters in a database containing a plurality of input attributes associated with a plurality of samples is provided. The method comprises the following steps. One-dimensional clusters are detected for each of one or more of the input attributes in the database. The one-dimensional clusters are used to determine one or more subspaces wherein at least one multi-dimensional cluster of the samples can exist. One or more multivariate clusters are detected in the one or more subspaces. Each input attribute, e.g., a gene, may comprise one or more values corresponding to one or more of the samples, e.g., medical patients, in the database.

Abstract: A flexible and efficient mechanism for integrating arbitrary isochronous processing algorithms in general purpose media servers is provided. The disclosed system supports generic graphs of processing modules with for buffer management, distributed stream control, and quality of service management. A data pump component is provided for dynamically creating at least one data path for data retrieved in response to a request, the data path having a plurality of filters for processing the data with one or more processing algorithms. A graph of component then creates a graph for processing data and instructs the data pump to retrieve filters and create the data path in accordance with the graph. By distributing stream control and decoupling resource management from components responsible for processing the media stream, the disclosed system allows these generic graphs to be constructed over multiple, networked systems.