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A Clustering Method Based on Soft Learning of Model (Prototype) and Dissimilarity Metrics

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Nanoscale Imaging of Epidermal Growth Factor Receptor Clustering. Effects of Inhibitors

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The development of some solid tumors is associated with overexpression of the epidermal growth factor receptor (EGFR) and often correlates with poor prognosis. Near field scanning optical microscopy, a technique with subdiffraction-limited optical resoluti ...

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We introduce a fast approach to classification and clustering applicable to high-dimensional continuous data, based on Bayesian mixture models for which explicit computations are available. This permits us to treat classification and clustering in a single ...

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We present an algorithm for clustering sets of detected interest points into groups that correspond to visually distinct structure. Through the use of a suitable colour and texture representation, our clustering method is able to identify keypoints that be ...

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Advanced Data Mining Method for Discovering Regions and Trajectories of Moving Objects: "Ciconia ciconia" Scenario

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Trajectory data is of crucial importance for a vast range of applications involving analysis of moving objects behavior. Unfortunately, the extraction of relevant knowledge from trajectory data is hindered by the lack of semantics and the presence of error ...

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ACM2008

SOM-based Clustering of Multilingual Documents Using an Ontology

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Clustering similar documents is a difficult task for text data mining. Difficulties stem especially from the way documents are translated into numerical vectors. In this chapter, we will present a method that uses Self Organizing Map (SOM) to cluster medic ...

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2007