In about 400 words, explain the concept of supervised and unsupervised learning. Illustrate using examples .

Business by Geoffrey

K-Clustering

  1. In about 400 words, define what clustering analysis means and how is this used in the data mining process. (3 Points)
  2. In about 400 words, explain the concept of supervised and unsupervised learning. Illustrate using examples . (3 Points)
  3. In your own words (about 500), define what K-Clustering means. Based on your understanding of this concept, provide a practical example of where and how this concept is used.  For example, in the field of marketing, finance, sports, etc.  Think of events in your own life, where this concept might have used, be creative (6 Points)