Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
— The growing Recurrent Self-Organizing Map (GRSOM) is embedded into a standard Self-Organizing Map (SOM) hierarchy. To do so, the KDD benchmark dataset from the International Kn...
Ozge Yeloglu, A. Nur Zincir-Heywood, Malcolm I. He...
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...