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Fuzzy clustering is a popular unsupervised learning method that is used in cluster analysis. Fuzzy clustering allows a data point to belong to two or more clusters. Fuzzy c-means is the most well-known method that is applied to cluster analysis, however, the shortcoming is that the number of clusters need to be predefined. This paper proposes a clustering approach based on Particle Swarm Optimization...
Algorithm by simulating biological intelligence concept with application in the optimization issue is still in the emergent stage. Among them, Particle Swarm Optimization Algorithm is a concept and method that has group intelligence. Using the exploring and development feature of particle swarm, the best solution of the entire domain is searched in the question space. However, Clustering Analysis...
Hard clustering and fuzzy clustering analysis is the basis of the construction of many classifications and systems with its main focus on planning and dividing data into many subsets according to certain rules. Due to the practical function of clustering analysis, many researchers thus proposed different clustering algorithms to be used by researchers around the world. In this article, Fuzzy sammon...
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