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A Comparative Analysis of Different Categorical Data Clustering Ensemble Methods in Data Mining
2013
International Journal of Computer Applications
Over the past decades, a prevalent amount of work has been done in the data clustering research under the unsupervised learning technique in Data mining. Moreover a myriad of algorithms and methods has been proposed focusing on clustering different data types, representation of cluster models, and accuracy rates of the clusters. However no single clustering algorithm proves to be the most efficient in providing best results. Accordingly in order to find the solution to this issue a new
doi:10.5120/14004-2050
fatcat:6m2ztxxf7jfapnlkmt5hbrlbyi