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Clustering and validation of Iris flower dataset using relative criteria

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In the present work, attempts have been made to analyze the Iris data set with clustering technique which is the main task of exploratory data mining and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval and bioinformatics. The Iris flower data set is a popular multivariate data set introduced by Sir Ronald Fisher as an example of discriminant analysis. | Clustering and validation of Iris flower dataset using relative criteria

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