The Auto-Adapted Ant Group Algorithm Cluster Analysis Research and Application

Author

Liu Zheng Long ; Yang Yan Mei

Author_Institution

Dept. of Math. & Comput., North-SiChuan Med. Coll., Nanchong

Volume

4

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

234

Lastpage

238

Abstract

The cluster analysis is in the data mining research important content. This paper according to the humanity to carry on the principle which the cluster judgment follows, the simulation ant seeks food source the behavior, proposed one kind based on the ant group many kinds of cluster study new method, may know this method through the simulation experiment to be possible finally to obtain the overall situation optimal solution, and has the essential parallelism, the counting yield high, cluster learning capability strong and so on the merits.

Keywords

data mining; autoadapted ant group algorithm cluster analysis; cluster learning; data mining; overall situation optimal solution; Algorithm design and analysis; Analytical models; Cities and towns; Clustering algorithms; Computer science; Computer simulation; Data mining; Educational institutions; Mathematics; Software engineering; Information rope; Most is close to the principle; ant group algorithm; cluster analysis; cluster center;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.591

Filename

4722606