Purpose: Evaluate the relevance of different input parameters over the quality of outlier detection. Use the workflow provided for this lecture and try to vary some parameters of the hierarchical clustering technique for outlier detection. Tasks: Use two values for the number of clusters, two values for linkage type, and two distance metrics to determine the number of outliers in the given data. Contrast and compare the results of the experiment using Cohen's kappa measure from the "Scorer" node