dprep: Data Pre-Processing and Visualization Functions for Classification

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

Package details

AuthorEdgar Acuna and the CASTLE research group at The University of Puerto Rico-Mayaguez
MaintainerEdgar Acuna <edgar.acuna@upr.edu>
Package repositoryView on CRAN
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dprep documentation built on May 29, 2017, 11:01 a.m.