State the difference between clustering and associations in data mining. Provide an example within healthcare data analysis when clustering can/should be used and when associations can/should be used.

Please answer each of the following questions. Expectation is 1 page (at least) per question:

1. State the difference between clustering and associations in data mining. Provide an example within healthcare data analysis when clustering can/should be used and when associations can/should be used.

2. Research various healthcare academic journals. Find one article that interests you and utilizes data mining techniques (e.g. clustering, associations, outliers). Summarize the article by stating the issue, the data mining technique used in the study, and the outcome of the study. This provides you the chance to better understand data mining techniques and how they are applied to healthcare situations.
EXTRA CREDIT (Regression review):
Worth 2 points, but assignment point total will not go over 50. Graph the following data and write down the best regression line formula and R2 value:
X: 2,4,6,12,24,36
Y: 5,17,37,145,577,1297

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