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Ever wondered which clustering method would be the best one to use to partition a geographical dataset? In this workshop we explore the basics of various clustering algorithms. Pros and cons of the different clustering families as well as their time complexity are explored in more depth. We also look at their applicability in Data Analytics and unsupervised learning.
Methods that will be discussed include:
Iterative partitioning
Hierarchical clustering
Density based clustering
Graph based clustering
Nearest Neighbour clustering
This webinar is validated for 0.2 CPD credits. Please click on the link for the presentation.
