| Author: | | Simon and Justin |
| Category: | | Attribute selection |
| Date: | | 2014-03-01 |
| Depends: | | weka (>=3.7.4) |
| Description: | | Variation Clustering looks for a good subset of attributes in order to improve the classification accuracy of supervised learning techniques in classification problems with a huge number of attributes involved. It first creates a ranking of attributes based on the Variation value, then divide into two groups, last using Verification method to select the best group. |
| Enhances: | | |
| License: | | GPL 2.0|Mozilla |
| Maintainer: | | Justin <ppchongboy{[at]}gmail.com> |
| PackageURL: | | http://prdownloads.sourceforge.net/fsvc/CVAttributeEval1.0.0.zip?download |
| Related: | | attributeSelectionSearchMethods |
| URL: | | https://sourceforge.net/projects/fsvc/ |
| Version: | | 1.0.0 |