Nothing is more important for an enterprise application than scalability and availability. Learn how to use clustering to meet both existing and future demands. Enterprise application (EA) architects ...
Ensemble clustering methods combine multiple clustering results to yield a consensus partition that is often more robust, accurate and stable than any single clustering solution. These techniques ...
Last year about this time Oracle CEO Larry Ellison said he was betting the company on a new technology--Oracle9i Real Application Clusters (RAC). The promise of the RAC technology was significant cost ...
A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...
CUPERTINO, Calif.--(BUSINESS WIRE)--Rancher Labs, the leading provider of container management software, today announced support for multi-cluster applications within Rancher, its open source ...
Journal of Agricultural, Biological, and Environmental Statistics, Vol. 20, No. 2 (June 2015), pp. 192-217 (26 pages) The desire to group observations generated from multivariate time series is common ...
With the increased complexity of vehicle electronics, greater functionality requires status information to be displayed to the driver. The instrument cluster is the primary data source for the driver, ...
We propose a nonparametric Bayesian local clustering (NoB-LoC) approach for heterogeneous data. NoB-LoC implements inference for nested clusters as posterior inference under a Bayesian model. Using ...
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