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Scatterplot of the data set. The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]
In March 1997, the IRIS database was uploaded to the internet. In 2004, the IRIS process was changed to add an interagency review led by the Office of Management and Budget (OMB) and to place a higher emphasis on outside peer review of IRIS assessments. [citation needed] The IRIS program was once again revised in April 2008.
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Speed, flow, occupancy and other metrics from loop detectors and other sensors in the freeway of the State of California, U.S.A.. Metric usually aggregated via Average into 5 minutes timesteps. 39,000 individual detectors, each containing years of timeseries Comma separated values Regression, Forecasting, Nowcasting, Interpolation (updated ...
Iris recognition biometric systems apply mathematical pattern-recognition techniques to images of the irises of an individual's eyes.. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some ...
The metrics reference model (MRM) is the reference model created by the Consortium for Advanced Management-International (CAM-I) to be a single reference library of performance metrics. This library is useful for accelerating to development of and improving the content of any organization's business intelligence solution.
In probability theory, integral probability metrics are types of distance functions between probability distributions, defined by how well a class of functions can distinguish the two distributions. Many important statistical distances are integral probability metrics, including the Wasserstein-1 distance and the total variation distance .
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