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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.
Getting started
Browse package contents
Package details |
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| Author | Edgar Acuna and the CASTLE research group at The University of Puerto Rico-Mayaguez |
| Maintainer | Edgar Acuna <edgar.acuna@upr.edu> |
| License | GPL |
| Version | 3.0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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