A Clustering Based Classification Approach Based on Modified Cuckoo Search Algorithm
- Авторлар: Dhal K.G.1, Das A.2, Ray S.3, Das S.4
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Мекемелер:
- Department of Computer Science and Application, Midnapore College (Autonomous)
- Department of Information Technology, Kalyani Government Engineering College
- Skybound Digital LLC Pvt. Ltd.
- Department of Engineering and Technological Studies, University of Kalyani
- Шығарылым: Том 29, № 3 (2019)
- Беттер: 344-359
- Бөлім: Mathematical Method in Pattern Recognition
- URL: https://journals.rcsi.science/1054-6618/article/view/195610
- DOI: https://doi.org/10.1134/S1054661819030052
- ID: 195610
Дәйексөз келтіру
Аннотация
Cuckoo Search Algorithm (CSA) is one of the new swarm intelligence based optimization algorithms, which has shown an effective performance on many optimization problems. However, the effectiveness of CSA significantly depends on the exploration and exploitation potential and it may also possible to increase its efficiency when solving complex optimization problems. In this study, some mechanisms have been employed on CSA to increase its efficiency such as use of global best and individual best solutions to guide the other solutions, self-adaption techniques for parameters and so on. The modified CSA (i.e., MCSA) is successfully employed in clustering based classification domain. The experimental results and execution time prove its effectiveness over existing modified CSAs and other employed swarm intelligence algorithms. The proposed clustering model is also employed in color histopathological image segmentation domain and provides effective result.
Авторлар туралы
Krishna Dhal
Department of Computer Science and Application, Midnapore College (Autonomous)
Хат алмасуға жауапты Автор.
Email: krishnagopal.dhal@midnaporecollege.ac.in
Үндістан, Paschim Medinipur, West Bengal
Arunita Das
Department of Information Technology, Kalyani Government Engineering College
Хат алмасуға жауапты Автор.
Email: arunita17@gmail.com
Үндістан, Kalyani, Nadia
Swarnajit Ray
Skybound Digital LLC Pvt. Ltd.
Хат алмасуға жауапты Автор.
Email: swarnajit32@gmail.com
Үндістан, Kolkata, West Bengal
Sanjoy Das
Department of Engineering and Technological Studies, University of Kalyani
Хат алмасуға жауапты Автор.
Email: dassanjoy0810@hotmail.com
Үндістан, Kalyani, Nadia
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