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Apache Spark for Data Science Cookbook
book

Apache Spark for Data Science Cookbook

by Padma Priya Chitturi
December 2016
Beginner to intermediate
392 pages
8h 13m
English
Packt Publishing
Content preview from Apache Spark for Data Science Cookbook

Outlier detection

Outliers are infrequent observations, that is, the data points that do not appear to follow the characteristic distribution of the rest of the data. They appear far away and diverge from the overall pattern of the data. These might occur due to measurement errors or other anomalies which result in wrong estimations. Outliers can be univariate and multivariate. Univariate outliers can be determined by looking at the distribution of a single variable whereas multivariate outliers are present in an n-dimensional space which can be found by looking at the distributions in multi-dimensions.

Getting ready

To step through this recipe, you will need a running Spark cluster in any one of the modes, that is, local, standalone, YARN, or Mesos. ...

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Publisher Resources

ISBN: 9781785880100