Tuesdays 10:30 - 11:30 | Fridays 11:30 - 12:30
Showing votes from 2016-02-16 11:30 to 2016-02-19 12:30 | Next meeting is Friday May 8th, 11:30 am.
Data clustering is an approach to seek for structure in sets of complex data, i.e., sets of "objects". The main objective is to identify groups of objects which are similar to each other, e.g., for classification. Here, an introduction to clustering is given and three basic approaches are introduced: the k-means algorithm, neighbour-based clustering, and an agglomerative clustering method. For all cases, C source code examples are given, allowing for an easy implementation.