MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT

MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT

Data clustering plays an important role in partitioning the large set of data objects into known/unknown number of groups or clusters so that the objects in each cluster are having high degree of similarity while objects in different clusters are dissimilar to each other. Recently a number of data c...

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Bibliographic Details
Main Authors: R. Jensi, G. Wiselin Jiji
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2015-10-01
Series:ICTACT Journal on Soft Computing
Subjects:
Data Clustering
Bat Algorithm
Levy Flight
Global Optimization
Online Access:http://ictactjournals.in/paper/IJSC_V6_I1_paper_5_pp_1093_1101.pdf
Description
Summary:Data clustering plays an important role in partitioning the large set of data objects into known/unknown number of groups or clusters so that the objects in each cluster are having high degree of similarity while objects in different clusters are dissimilar to each other. Recently a number of data clustering methods are explored by using traditional methods as well as nature inspired swarm intelligence algorithms. In this paper, a new data clustering method using modified bat algorithm is presented. The experimental results show that the proposed algorithm is suitable for data clustering in an efficient and robust way.
ISSN:0976-6561
2229-6956

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