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of visualizations to help you evaluate possible values for K (the number of clusters).\n", "\n", "Parameterize and implement the following clustering algorithms using this dataset: Kmeans, Gaussian Mixture Model, DBSCAN, Agglomerative Hierarchical.\n", "\n", "Create a plot of your results for each algorithm that distinguishes clusters by color.\n", "\n", "Select the algorithm/parameters that you believe provides the 'best' clustering results. Note: you may find it helpful to iterate between clustering algorithms/ parameterizations and related graphs to make this selection.\n", "\n", "Questions: \n", "\n", "A. What method(s) did you use to identify an appropriate value for K? Why did you select this method(s)? \n", "\n", "B. What value did you select for K? Does your EDA support this choice? \n", "\n", "C. Why is the algorithm that you selected for your final clustering model the best choice among those you evaluated? }, { "cell_type": "markdown", "id": "a4355d5a-0944-4f52-9a77-f39145be70c5", "metadata":{}, "source": [

Fig: 1