In these chapters reading, you asked to discuss the Clustering Techniques and Association Rules. Next, you will explain objects of interest that are used in the labeling of items within functional activities, such as marketing, economics, and logistical environments. Lastly, you will explain the K-means within the “R” implementation and the association rules that are used to describe the relationships among items of interest in a business context, and an initialization forecasting method. With that in mind, please read the below questions from the assigned chapters reading and choose at least three of them
Choose one of the two discussion questions below and respond to it.
1. Describe k-means clustering technique and discuss its application in a real-world scenario.
2. What is exponential smoothing and how is it used for time series forecasting?