Grey Wolf Optimizer (GWO) Algorithm to Solve the Partitional Clustering Problem
| Autor: | Onur Inan, Murat Karakoyun, İhtisam Akto |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Heuristic (computer science)
Computer science 0102 computer and information sciences 02 engineering and technology 01 natural sciences Fuzzy logic Similarity (network science) Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Fuzzy C-means Cluster analysis K-means Data Clustering K-medoids Data processing k-medoids k-means clustering Computer Graphics and Computer-Aided Design Partition (database) ComputingMethodologies_PATTERNRECOGNITION 010201 computation theory & mathematics Control and Systems Engineering 020201 artificial intelligence & image processing Grey Wolf Optimization (GWO) Algorithm Information Systems |
| Zdroj: | International Journal of Intelligent Systems and Applications in Engineering; Vol. 7 No. 4 (2019); 201-206 |
| ISSN: | 2147-6799 |
| DOI: | 10.18201/ijisae.2019457231 |
| Popis: | The clustering which is an unsupervised classification method is very important for data processing applications. The main purpose of the clustering is to separate the data samples into different groups by using the similarity (or dissimilarity) between data samples. There are many conventional and heuristic algorithms which are used for the clustering problem. Nevertheless, in last years, it is seen that many new techniques are proposed and improved to solve the clustering problem. In this paper, grey wolf optimization (GWO) algorithm which is modelled according to the social behaviour of grey wolves is applied to partition the data samples by searching the optimal center of the clusters. The clustering performance of the GWO is compared with the performances of the three clustering algorithms: k-means, k-medoids and fuzzy c-means algorithms. The experiments show that the GWO algorithm has generally better results than the other clustering algorithms and can be alternatively applied on the clustering problem. |
| Databáze: | OpenAIRE |
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