Hybrid Particle Swarm Optimization (HPSO) for Data Clustering

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Data mining is the collection of different techniques. Clustering information into various clusters is one of the data mining techniques. It is a method, in which each cluster must contain more similar data and have much dissimilarity between inter cluster data. Most of traditional clustering algorithms have disadvantages like initial centroid selection, local optima, low convergence rate etc. Clustering with swarm based algorithms is emerging as an alternative to more conventional clustering techniques. In this paper, a new hybrid sequential clustering approach is proposed, which uses PSO - a swarm based technique in sequence with fuzzy k - means algorithm in data clustering.
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