A novel hybrid approach for real world data clustering algorithm based on fuzzy C-means and firefly algorithm-Reference-Cited by-同舟云学术

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A novel hybrid approach for real world data clustering algorithm based on fuzzy C-means and firefly algorithm

Published:2015 Issue:4 Volume:1 Page:431
ISSN:2052-353X
Container-title:International Journal of Fuzzy Computation and Modelling
language:en
Short-container-title:IJFCM

Author:

Behera Himansu Sekhar,Nayak Janmenjoy,Nanda M.,Nayak K.

Publisher

Inderscience Publishers

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Firefly-K-Means Clustering with Adaptive Mutation and Central Limit Theorem for Automatic Clustering of High-Dimensional Datasets;Applied Sciences;2022-11-30

2. A Framework for disaster management using fuzzy bat clustering in fog computing;International Journal of System Assurance Engineering and Management;2021-11-29

3. K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions;Applied Sciences;2021-11-26

4. Detection of HTTP flooding attacks in cloud using fuzzy bat clustering;Neural Computing and Applications;2019-09-10

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