PSO Based Multidimensional Data Clustering: A Survey

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Data clustering is considered as one of the most promising data analysis methods in data mining and on the other side k-means is the well known partitional clustering technique. Nevertheless, k-means and other partitional clustering techniques struggle with some challenges where dimension is the core concern. The different challenges associated with clustering techniques are preknowledge of initial centers of clusters, problem of stagnation, multiple cluster membership problem, dead unit problem, and slow or premature convergence to local search space.
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