--- Title: Cluster Analysis Description: A study of grouping observations --- Cluster Analysis is the art of finding inherent structures in data to form groups of similar observations. This has a myriad of applications from recommendation engines to social network analysis. This is an independent study, meaning that I will be studying this topic under the direction of a professor, in this case being Dr. Denhere. I have provided a list of topics that I wish to explore in a [syllabus](syllabus/) Dr. Denhere likes to approach independent studies from a theoretical and applied sense. Meaning, I will learn the theory of the different algorithms, and then figure out a way to apply them onto a dataset. ## Readings There is no definitive textbook for this course. Instead I and Dr. Denhere search for materials that we think best demonstrates the topic at hand. I have created a [Reading Page](readings/) to keep track of the different reading materials. ## Learning Notes I like to type of the content I learn from different sources. A [notes page](notes/) is created to keep track of the content discussed each meeting.