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
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spelling doaj-4c64a2140cba4c3781ca82b398b5950f2020-11-25T02:31:25ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562015-10-016110931101MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHTR. Jensi0G. Wiselin Jiji1Dr. Sivanthi Aditanar College of Engineering, IndiaDr. Sivanthi Aditanar College of Engineering, IndiaData 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.http://ictactjournals.in/paper/IJSC_V6_I1_paper_5_pp_1093_1101.pdfData ClusteringBat AlgorithmLevy FlightGlobal Optimization
collection DOAJ
language English
format Article
sources DOAJ
author R. Jensi
G. Wiselin Jiji
spellingShingle R. Jensi
G. Wiselin Jiji
MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT
ICTACT Journal on Soft Computing
Data Clustering
Bat Algorithm
Levy Flight
Global Optimization
author_facet R. Jensi
G. Wiselin Jiji
author_sort R. Jensi
title MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT
title_short MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT
title_full MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT
title_fullStr MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT
title_full_unstemmed MBA-LF: A NEW DATA CLUSTERING METHOD USING MODIFIED BAT ALGORITHM AND LEVY FLIGHT
title_sort mba-lf: a new data clustering method using modified bat algorithm and levy flight
publisher ICT Academy of Tamil Nadu
series ICTACT Journal on Soft Computing
issn 0976-6561
2229-6956
publishDate 2015-10-01
description 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.
topic Data Clustering
Bat Algorithm
Levy Flight
Global Optimization
url http://ictactjournals.in/paper/IJSC_V6_I1_paper_5_pp_1093_1101.pdf
work_keys_str_mv AT rjensi mbalfanewdataclusteringmethodusingmodifiedbatalgorithmandlevyflight
AT gwiselinjiji mbalfanewdataclusteringmethodusingmodifiedbatalgorithmandlevyflight
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