ABSTRACT
Within the fields of machine learning and data mining, cluster analysis is one of the main techniques intended to abstract knowledge from large datasets. Technology applications make the most of clustering solutions to perform data reduction, hypothesis generation and testing, as well as model-based prediction and decision making. The successful application of clustering depends on the careful tuning of different steps, from the feature selection to the evaluation of clustering solutions.

BIOGRAPHY
Félix Iglesias Vázquez was born in Madrid, Spain, in 1980. He received the Ph.D. degree in technical sciences in 2012 from the Vienna University of Technology, Vienna, Austria. He currently holds a University Assistant and Postdoc Research position at the Vienna University of Technology. He has worked on fundamental research and project development for diverse Spanish and Austrian firms and lectured in the fields of electronics, physics and automation. His research interests include machine learning, data analysis and network security.

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