Clustering complex data
Agnieszka Nowak-Brzezińska, Tomasz Xięski · Studia Informatica System and information technology · 2011
This work provides an introduction to the matter of clustering complex data and searching through such a structure. It presents related problems, focusing primarily on the aspect of creating cluster representatives. Carried out experiments based on using the DBSCAN algorithm allow to compare the efficiency of finding relevant to the given question clusters, depending on the way of cluster representatives were created.