Proceedings Article10.1109/DCABES48411.2019.00054
Using Improved Glowworm Swarm Optimization Algorithm for Clustering Analysis
Yuefeng Tang,Ning Wang,Jingyu Lin,Xiangqian Liu +3 more
- 01 Nov 2019
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TL;DR: The enhanced GSO algorithm proposed in this paper can efficiently realize self-organization clustering of data without initializing cluster centers and cluster number, and the proposed hybrid algorithm has better clustering results over four clustering algorithms.
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Abstract: High-quality clustering algorithms play an essential role in the data analysis. Traditional clustering algorithms are susceptible to initial cluster centers, which leads to the degradation of clustering quality. Clustering analysis based on Swarm Intelligence (SI) optimization algorithms can solve the problem of traditional clustering algorithms by the better ability to find the optimal solutions, such as Glowworm Swarm Optimization (GSO) algorithm. The GSO-based clustering analysis can use the multi-modal optimization ability to search for the optimal cluster centers. This paper proposes two clustering techniques based on the GSO algorithm: one is to realize self-organizing clustering of data through improved GSO algorithm, and the other is to hybrid the improved GSO self-organizing clustering algorithm with the k-means algorithm. The proposed algorithms test on the Iris data set. The experimental results show that the enhanced GSO algorithm proposed in this paper can efficiently realize self-organization clustering of data without initializing cluster centers and cluster number, and the proposed hybrid algorithm has better clustering results over four clustering algorithms.
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TL;DR: A glowworm swarm based algorithm that finds solutions to optimization of multiple optima continuous functions of a multimodal function that addresses the problem of detecting multiple sources of a general nutrient profile that is distributed spatially on a two dimensional workspace using multiple robots.
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A new clustering approach based on Glowworm Swarm Optimization
Ibrahim Aljarah,Simone A. Ludwig +1 more
- 20 Jun 2013
TL;DR: A clustering based GSO is proposed (CGSO), where the G SO is adjusted to solve the data clustering problem to locate multiple optimal centroids based on the multimodal search capability of the GSO.
Parallel glowworm swarm optimization clustering algorithm based on MapReduce
Nailah Al-Madi,Ibrahim Aljarah,Simone A. Ludwig +2 more
- 01 Dec 2014
TL;DR: A scalable design and implementation of glowworm swarm optimization clustering (MRCGSO) using MapReduce is introduced to handle big data and achieves a very close to linear speedup while maintaining the clustering quality.
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Using Glowworm Swarm Optimization Algorithm for Clustering Analysis
Zhengxin Huang,Yongquan Zhou +1 more
TL;DR: Two new cluster analysis methods based on glowworm swarm optimization (GSO) algorithm are proposed, which showed how GSO can be used to self-organization cluster analysis and hybrid the GSO clustering analysis with the K-means algorithm to accelerate classification.
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