Cluster Exploratory (CluE) was a proposed 2008 U.S. National Science Foundation-funded program to use Google-IBM cluster technology to analyze massive amounts of data to search for patterns, part of the Academic Cluster Computing Initiative (ACCI). "The cluster will consist of 1,600 processors, several terabytes of memory, and hundreds of terabytes of storage, along with the software, including IBM's Tivoli and open source versions of Google File System and MapReduce".[1][2] Google and IBM announced the first pilot phase of the ACCI in October 2007.[3] The program ended in 2011, according to Google.[4] NSF's call for proposals has been "archived".[2]
^"The End of Theory: The Data Deluge Makes the Scientific Method Obsolete" by Chris Anderson
^ abProgram Solicitation NSF 08-560
^"Supporting cluster computing in the research community". Google Blog. Google. 25 February 2008. Retrieved 15 October 2017.
^Derrick Harris. No more access to Google’s Hadoop cloud for researchers. Gigaom. 22 Dec 2011
and 26 Related for: Cluster Exploratory information
ClusterExploratory (CluE) was a proposed 2008 U.S. National Science Foundation-funded program to use Google-IBM cluster technology to analyze massive...
app developed by BioWink GmbH Clue cell, a type of vaginal cell ClusterExploratory, or CluE, a National Science Foundation-funded research program Comprehensive...
analyst) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical...
Berkeley-- to create a research server farm. This would later become the ClusterExploratory program when the National Science Foundation funded the project in...
In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set...
personality disorders are grouped into the following three clusters based on descriptive similarities: Cluster A personality disorders are often associated with...
applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses...
Exploratory blockmodeling is an (inductive) approach (or a group of approaches) in blockmodeling regarding the specification of an ideal blockmodel.: 234 ...
large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed...
matter that can be observed from Earth or its space-based telescopes and exploratory probes at the present time; the electromagnetic radiation from these...
Zhan, F. Benjamin (September 3, 2010). "A Comparison Of Three Exploratory Methods for Cluster Detection in Spatial Point Patterns". Geographical Analysis...
Exploratory search is a specialization of information exploration which represents the activities carried out by searchers who are: unfamiliar with the...
graphic. A study of corporate data analysts found two challenges to exploratory time series analysis: discovering the shape of interesting patterns,...
which it follows that the mean values of the errors will also be zero. Exploratory factor analysis (EFA) is used to identify complex interrelationships...
example, if the CT scans were on patients who subsequently underwent exploratory surgery), then the focus would generally be on how well the physicians'...
"exploratory" method to be interpreted with caution and not as a test with statistically significant power. Modern applications of genetic clustering methods...
The Exploratory Science Center (ESC) is a pharmaceutical company based in Cambridge, MA. The disease agnostic research site was founded in 2016, and was...
quantitative variables), and as a data exploratory technique. Although WGCNA incorporates traditional data exploratory techniques, its intuitive network language...
patterns, trends, variations, constancy, clusters, outliers and unusual groupings within data (exploratory visualization). When intended for the general...
is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing. The data is linearly...
has powerful capabilities to perform spatial analysis, multivariate exploratory data analysis, and global and local spatial autocorrelation. It also...
scree plot is used to determine the number of factors to retain in an exploratory factor analysis (FA) or principal components to keep in a principal component...
of new observations. Clustering systems assign objects into groups (called clusters) so that objects (cases) from the same cluster are more similar to...
1970 by John Tukey, who later published on the subject in his book "Exploratory Data Analysis" in 1977. A boxplot is a standardized way of displaying...
Following talks with Zelenskyy in January 2024, Swiss officials started an exploratory phase of discussions with representatives of the European Union, China...
statistics. It has two schools: (1) Exploratory Factor analysis (2) Confirmatory Factor analysis. The exploratory factor analysis begins without a theory...
Global Information