An Efficient Data Clustering Algorithm Over IRIS Dataset

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
One of the most challenging analysis problems in the data mining domains is organizing large amounts of information. The authors are proposing an efficient data clustering mechanism with incremental clustering algorithm with genetic feature, clustering is a mostly unsupervised procedure and the majority of the clustering algorithms depend on certain assumptions in order to define the subgroups present in a dataset. In their approach they are performing incremental clustering on IRIS dataset for optimal clusters apart from the traditional approaches.
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