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This activity will allow you to practice your new cluster analysis skills. This widely used data analysis technique can help with pattern recognition, the identification of outliers, and data visualization.
Task
Use the provided Abridged Bank Data Set, which includes an abridged dataset with 1000 cases and a tab with the codebook to complete the tasks provided. You can also visit the UC Irvine Machine Learning Repository for more information and guidance on how to use the dataset provided.
Using the data provided, complete the following task:
Identify two alternative clustering solutions to help the bank with the goal of targeting the customers most likely to open a term deposti account.
Create a Word document that provides an overview of the two alternative solutions. In this summary, include all relevant analyses and provide a summary of the strengths and weaknesses of each solution.
Submission
Your completed analysis must be your original work. The submission should be a 5– 6-page Microsoft Word document; this excludes the cover page and reference list. Use 12-point font, 1-inch margins, and double-spacing. Include the output from your analysis, including any tables and graphics as part of the final submission.
https://archive.ics.uci.edu/dataset/222/bank+marketing
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