Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{conf/dmin/SunST06,
-
title = "Parallel Hybrid Clustering using Genetic Programming
and Multi-Objective Fitness with Density ({PYRAMID})",
-
author = "Samir Tout and William Sverdlik and Junping Sun",
-
booktitle = "Proceedings of the 2006 International Conference on
Data Mining, {DMIN} 2006",
-
publisher = "CSREA Press",
-
year = "2006",
-
editor = "Sven F. Crone and Stefan Lessmann and
Robert Stahlbock",
-
ISBN = "1-60132-004-3",
-
pages = "197--203",
-
address = "Las Vegas, Nevada, {USA}",
-
month = jun # " 26-29",
-
bibdate = "2006-12-19",
-
bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/dmin/dmin2006.html#SunST06",
-
keywords = "genetic algorithms, genetic programming, Data Mining,
Clustering, Parallelism, Density",
-
URL = "http://ww1.ucmss.com/books/LFS/CSREA2006/DMI3100.pdf",
-
size = "7 pages",
-
abstract = "Clustering is the process of locating patterns in
large data sets. It is an active research area that
provides value to scientific as well as business
applications. Practical clustering faces several
challenges including: identifying clusters of arbitrary
shapes, sensitivity to the order of input, dynamic
determination of the number of clusters, outlier
handling, processing speed of massive data sets,
handling higher dimensions, and dependence on
user-supplied parameters. Many studies have addressed
one or more of these challenges. This study proposes an
algorithm called parallel hybrid clustering using
genetic programming and multi-objective fitness with
density (PYRAMID). While still leaving significant
challenges unresolved, such as handling higher
dimensions and dependence on user-supplied parameters,
PYRAMID employs a combination of data parallelism, a
form of genetic programming, and a multiobjective
density-based fitness function in the context of
clustering to resolve most of the above challenges.
Preliminary experiments have yielded promising
results.",
-
notes = "Samir Tout*, William Sverdlik**, and Junping Sun*
*Nova Southeastern University, Fort Lauderdale,
Florida, USA **Eastern Michigan University, Ypsilanti,
Michigan, USA",
- }
Genetic Programming entries for
Samir Tout
William Sverdlik
Junping Sun
Citations