Paper Info
Title
Analysis of Ramer-Douglas-Peucker algorithm as a discretization method.
Abstract
Discretization is the process of converting continuous values into discrete values. It is crucial for several machine learning and data mining algorithms as certain algorithms work only on discrete values. In this study we investigate applicability of Ramer-Douglas-Peucker (RDP) algorithm as a discretization method. Experimental results demonstrate that RDP-based discretization achieves similar or better classification accuracy compared to equal width, equal frequency, Zeta and 1R.
Year
Venue
Keywords
2018
Signal Processing and Communications Applications Conference
discretization,Ramer-Douglas-Peucker algorithm,line fitting
Field
DocType
ISSN
Discretization,Ramer–Douglas–Peucker algorithm,Pattern recognition,Computer science,Algorithm,Artificial intelligence,Knowledge extraction,Data mining algorithm
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Furkan Goz100.68
Alev Mutlu2227.19
Orhan Akbulut3365.46