Title :
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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.591
