votingFeatureIntervals · Classification by voting feature intervals. Intervals are constucted around each class for each attribute (basically discretization). Class counts are recorded for each interval on each attribute. Classification is by voting. For more info see: G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.

Table Of Contents

• Latest Version
• All Versions
• View Java Class Source Code in JAR file

Latest Version

Download nz.ac.waikato.cms.weka : votingFeatureIntervals JAR file - Latest Versions:

• Latest Stable: 1.0.2.jar

All Versions

Download nz.ac.waikato.cms.weka : votingFeatureIntervals JAR file - All Versions:

Version		Vulnerabilities	Size	Updated
1.0.x	votingFeatureIntervals-1.0.2.jar		9.09 KB	Apr 26, 2012
	votingFeatureIntervals-1.0.1.jar		9.09 KB	Apr 24, 2012

View Java Class Source Code in JAR file

1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window votingFeatureIntervals-1.0.2.jar file.
   Once you open a JAR file, all the java classes in the JAR file will be displayed.

weka.classifiers.misc

├─ weka.classifiers.misc.VFI.class - [JAR]