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 ...
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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 ...
Terracotta's technology is based on a configuration-driven clustered JVM, not a system-level clustered JVM such as IBM's. Therefore, Terracotta's software installation takes only a few minutes to ...
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 ...
Different types of cluster nodes - Primary, SDS, HDR, RSS - can be combined in any order to build logical connection groups. Depending on the type of workload that an application primarily generates, ...
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, ...
This study analyzed whether there are different patterns of mortality decline among low-mortality countries by identifying the role played by all the mortality components. We implemented a cluster ...
Silicon Mechanics, Inc. has announced the open submission period for its 4th annual Research Cluster Grant Program. This competitive grant will award two complete high performance compute clusters to ...
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