Raw File
Tip revision: 718b8b5e4fd1deb174174bf2be590611e0b56999 authored by awojna on 17 October 2018, 15:51:21 UTC
Version changed to 3.2.0
Tip revision: 718b8b5
# Description file of Rseslib package for Weka

# Package name (required)

# Version (required)


# Title (required)
Title=Rough Sets and Analogy-Based Reasoning


# Author (required)
Author=Arkadiusz Wojna,Grzegorz Gora,Marcin Jalmuzna,Michal Kurzydlowski,Rafal Latkowski,Dariusz Ogorek,Marcin Piliszczuk,Beata Zielosko

# Maintainer (required)
Maintainer=Arkadiusz Wojna <wojna@mimuw.edu.pl>

# License (required)
License=GPL 3.0

# Description (required)
Description=The package provides 3 classifiers. Rule classifier based on rough sets uses the concepts of discernibility matrix, reducts and rules generated from reducts. \
It provides variety of algorithms generating reducts including faster for larger data sets local reducts and has modes to work with incomplete data and inconsistent data. \
K nearest neighbours classifier provides variety of distance measures that can work also for data with both numeric and nominal attributes and has built-in k optimization. \
It implements fast neighbours searching algorithm making the classifier work for very large data sets. The classifier has also the mode to work as RIONA algorithm. \
The third classifier is the extension of k nearest neighbours method that induces local metric for each classified object. \
It is dedicated rather to large data sets (2000+ training instances) and improves accuracy particularly in case of data containing nominal attributes.

# Package URL for obtaining the package archive (required)

# URL for further information

# Dependencies
Depends=weka (>=3.8.0)
back to top