Data Clustering and Segmentation in R for Business


Details
This presentation describes different approaches to data clustering, explains their aims, data preparation for cluster analysis, visualisation techniques for cluster diagnostics and for segmentation analysis, as well as cluster optimisation methods. The presentation will focus on business applications for R practitioners.
Catering will be provided thanks to our host Amazon, so big thanks!
Rough agenda:
5:45 Networking, food & drinks
6:30 Presentation
7:30 More networking
8:00 Close
Assoc. Prof. Jacob Cybulski is from the Dept of Information Systems and Business Analytics, Deakin University, Australia (Melbourne). His experience includes academic and research positions at a number of Australian organisations. He also worked as an IT consultant to various organisations. Trained in Software Engineering, Jacob’s research interests are in Data Analytics and Information Visualisation. He was instrumental in the creation of the first Australian Master program in Business Analytics at Deakin University, of which he was the first director and where he also teaches predictive analytics and data mining in business. Jacob's current and past projects include applications in marketing, finance, engineering, telecommunications and education.

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Data Clustering and Segmentation in R for Business