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.
About 5-7 pages. Maximum allowed submission is two.
Follow standard APA guidelines, including an abstract, conclusion, and a reference page with a minimum of three references.
Include a cover page that should contain the following: Title, Student’s name, University’s name, Course name, Course number, Professor’s name, and Date.
Clickable auto-generated Table of Content is required
Submit your assignment on or before the due date.
Save your assignment as a Microsoft Word document. (Mac users, please remember to append the “.docx” extension to the filename.) The name of the file should be your first initial and last name, followed by an underscore and the name of the assignment, and an underscore and the date. An example: Jstudent_exampleproblem_0922_2019
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