Title :
Enhanced ant clustering algorithm (EACA) for distributed databases
Author_Institution :
Dept. of Comput. Sci., Kongunadu Arts & Sci. Coll., Coimbatore, India
Abstract :
This paper presents an enhanced version of the Probabilistic Ant based Clustering Algorithm for Distributed Databases (PACE). The most important feature of this algorithm is to introduce ant based algorithm for inter zone clustering instead of agglomeration algorithm. Its performance is compared with PACE and K-means algorithm.
Keywords :
distributed databases; pattern clustering; probability; EACA; PACE; distributed databases; enhanced ant clustering algorithm; inter zone clustering; probabilistic ant based clustering algorithm; Algorithm design and analysis; Clustering algorithms; Distributed databases; Iris recognition; Probabilistic logic; Sorting; EACA; ant clustering;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726558