Description: • Select your case study organization that is using complex data systems and need your help as a data scientist to advise them on data analysis issues and management. • Explain the company overview, products/services, and their data management system. • Identify the problem the organization is having and draft a problem statement to drive your research paper. • Research and identify five clustering algorithms. Compare and contrast the identified five clustering algorithms. • Recommend a clustering algorithm to your chosen organization with justification to support your selection. • Select four object attributes (for example, age, income, etc.) to use in the cluster analysis of the organization complex data. It is important to understand what attributes will be known at the time a new object will be assigned to a cluster. For example, information on existing customers’ satisfaction or purchase frequency may be available.

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