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Using K means clustering and density based clustering method (DBSCAN) to detect mis-labelled data in the Iris dataset

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Anomaly Detection

In the attached code we will use the Iris dataset, we will relabel two Setosa entries as Versicolor and check to see if the two Unsupervised learning models (K means clustering and Density based clustering method (DBSCAN)) will detect the mis-labelled entries. Please note we would never assume that any cases which are flagged from these models are anomalies without consulting with an expert in the field.

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Using K means clustering and density based clustering method (DBSCAN) to detect mis-labelled data in the Iris dataset

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